CN110019491A - Method for visualizing, visualization device, computer equipment and storage medium - Google Patents
Method for visualizing, visualization device, computer equipment and storage medium Download PDFInfo
- Publication number
- CN110019491A CN110019491A CN201710624251.0A CN201710624251A CN110019491A CN 110019491 A CN110019491 A CN 110019491A CN 201710624251 A CN201710624251 A CN 201710624251A CN 110019491 A CN110019491 A CN 110019491A
- Authority
- CN
- China
- Prior art keywords
- variable
- information
- preset
- medical
- preset structure
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000012800 visualization Methods 0.000 title claims abstract description 59
- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000004458 analytical method Methods 0.000 claims abstract description 23
- 238000012545 processing Methods 0.000 claims description 42
- 230000008859 change Effects 0.000 claims description 20
- 238000001514 detection method Methods 0.000 claims description 16
- 230000001105 regulatory effect Effects 0.000 claims description 12
- 238000009826 distribution Methods 0.000 claims description 6
- 238000010276 construction Methods 0.000 claims 1
- 201000010099 disease Diseases 0.000 description 20
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 20
- 230000015654 memory Effects 0.000 description 18
- 238000007418 data mining Methods 0.000 description 14
- 238000010586 diagram Methods 0.000 description 8
- 238000001914 filtration Methods 0.000 description 8
- 238000007619 statistical method Methods 0.000 description 7
- 238000004590 computer program Methods 0.000 description 6
- 230000008569 process Effects 0.000 description 6
- 230000003993 interaction Effects 0.000 description 5
- 230000006870 function Effects 0.000 description 4
- 239000011159 matrix material Substances 0.000 description 4
- 230000001225 therapeutic effect Effects 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 4
- 208000024172 Cardiovascular disease Diseases 0.000 description 3
- 208000026106 cerebrovascular disease Diseases 0.000 description 3
- 239000003814 drug Substances 0.000 description 3
- 230000002526 effect on cardiovascular system Effects 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000015572 biosynthetic process Effects 0.000 description 1
- 229910052799 carbon Inorganic materials 0.000 description 1
- 238000013079 data visualisation Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 229940079593 drug Drugs 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 239000004744 fabric Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000010365 information processing Effects 0.000 description 1
- 230000008439 repair process Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000001932 seasonal effect Effects 0.000 description 1
- 208000017520 skin disease Diseases 0.000 description 1
- 238000001356 surgical procedure Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
- Y02A90/00—Technologies having an indirect contribution to adaptation to climate change
- Y02A90/10—Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention proposes a kind of method for visualizing of structured medical data and visualization devices, computer equipment and computer readable storage medium, and wherein method for visualizing includes: the essential information for obtaining each preset structure variable for including in each medical medical record；The corresponding information arrangement view of each preset structure variable is formed according to the statistic analysis result of the essential information to each preset structure variable and/or forms the variable relation view between different preset structure variables；Export and show information arrangement view and/or variable relation view.According to the technical solution of the present invention, the visualization to structured medical data can be effectively realized, so that user more easily excavates structured medical data.
Description
Technical field
The present invention relates to medical data visualization technique fields, in particular to the visualization of structured medical data
Method, the visualization device of structured medical data, computer equipment and computer readable storage medium.
Background technique
Currently, data mining is the processing such as to be processed, classified, clustered to mass data, and using statisticalling analyze and patrol
The mode for collecting analysis picks out the process of useful information, including carries out feature extraction to data.And as digitizing technique is being cured
The application in treatment field, medical data amount is increasing, contains many valuable information resources, and medical data excavates tool
Be widely used field, comprising: curative activity auxiliary diagnosis, medical quality managent, medical information processing, medicine research and development, life
Object medicine, medical image etc..
But medical data has mode polymorphism (such as with disease several), imperfection, timeliness, redundancy and hidden
The features such as private, to constitute challenge to data excacation, unstructured data especially therein is even more to be difficult to analyze.Institute
It is that medical data excavates a preferable breach to carry out data mining for structured medical data.
Therefore, how user is more easily excavated to structured medical data, realizes structured medical number
According to visualization become technical problem urgently to be resolved.
Summary of the invention
The present invention is based on the above problems, proposes a kind of new technical solution, can effectively realize to structuring
The visualization of medical data, so that user more easily excavates structured medical data.
In view of this, the first aspect of the present invention proposes a kind of method for visualizing of structured medical data, comprising: obtain
Take the essential information for each preset structure variable for including in each medical medical record；According to the basic of each preset structure variable
The statistic analysis result of information forms the corresponding information arrangement view of each preset structure variable and/or forms different default knots
Variable relation view between structure variable；Export and show information arrangement view and/or variable relation view.
In the technical scheme, by the essential information to each preset structure variable for including in each medical medical record into
It goes and statisticallys analyze, and then not only can draw its information arrangement view for each preset structure variable can also draw embodiment
The variable relation view of relevance between different preset structure variables, and it is able to carry out information arrangement view and/or change
The output of magnitude relation view is shown, realizes the visualization processing to structured medical data, is allowed the user to more intuitive
Ground understands the essential information situation of structured medical data, so that user more easily carries out structured medical data
It excavates, not only saves human resources, additionally it is possible to improve the efficiency of data mining.
In the above-mentioned technical solutions, it is preferable that the base for each preset structure variable for including in obtaining each medical medical record
Before the step of this information, further includes: detect whether to receive the sort instructions for each medical medical record of user's input；If
It is that all medical medical records are classified according to the default classification standard for including in sort instructions, it is every to be obtained for classification
A medical treatment medical record group executes the essential information for obtaining each preset structure variable for including in wherein each medical medical record respectively
And the step of forming information arrangement view and/or variable relation view；If it is not, directly including in each medical medical record of execution acquisition
The step of essential information of each preset structure variable.
In the technical scheme, further in order to more easily realize the visualization of structured medical data, and make
Variable relation view between the information arrangement view and/or preset structure variable of the preset structure variable arrived is more intuitive
Ground shows its essential information data cases, can own previously according to the actual demand of user to needing to carry out visualization processing
Medical medical record is classified, and realizes the data mining of more targeted structured medical data.
In any of the above-described technical solution, it is preferable that the essential information of each preset structure variable include one or more of
Combination: variable's attribute information, types of variables information and variable-value information；And according to each preset structure variable
The statistic analysis result of essential information forms the step of each preset structure variable corresponding information arrangement view, specific to wrap
It includes: when determining that it is continuous variable according to the variable's attribute information and/or types of variables information of each preset structure variable,
The first object variable-value information in the variable-value information of each preset structure variable in pre-set interval is obtained, is adopted
The corresponding information arrangement view of first object variable-value information is indicated with the first preset pattern；When according to each preset structure
When the variable's attribute information and/or types of variables information of variable determine that it is discrete variable, each preset structure variable is obtained
Variable-value information in frequency be higher than the second target variable value information of preset value, indicate the using the second preset pattern
The corresponding information arrangement view of two target variable value information.
In the technical scheme, the essential information for each preset structure variable for including in each medical medical record includes but unlimited
In following one or a variety of combinations: variable's attribute information, such as character attibute, numerical attribute, time attribute etc.；Types of variables
Information, such as discrete variable, continuous variable；Variable-value information, such as value interval, value classification etc..
Further, change belonging to it has been determined when carrying out analysis by the essential information to each preset structure variable
It then can be using correspondingly visualized graphs, specifically can be according to each to its further progress visualization processing after amount type
The variable's attribute information and/or types of variables information of preset structure variable determine its types of variables, and then are become based on this to it
It measures value information and carries out automatic processing, reasonably bad data point can be filtered out by display data, then graphing
It realizes visualization, then when preset structure variable is continuous variable, can be cut according to the characteristic distributions of continuous value interval
Significant section is taken, that is, filters out exceptional value or unessential section, is located at its value interval in pre-set interval, specifically
The information arrangement view of continuous variable can be shown by histogram, box traction substation etc., and when preset structure variable is discrete change
When amount, frequency taking higher than preset value can be selected according to the frequency disribution feature of the value classification of the preset structure variable
It is worth classification, the information arrangement view of discrete variable can be specifically shown by pie chart, bar chart etc..It, can be with by above scheme
The bad data of preset structure variable is filtered out, only constructs its information arrangement view according to reasonable, significant data, from
And it ensure that the accuracy of building information arrangement view.
Wherein, for the value condition to continuous variable it is filtered the pre-set interval of processing and for discrete variable
The preset value that value condition is filtered processing can be specifically arranged according to actual needs.Further, work as preset structure
Changing variable is when can be with the variable of natural ordering, such as the time, then can first be ranked up, then carry out again the filtering of value with
And correspondingly visualization processing.
In any of the above-described technical solution, it is preferable that according to the statistics of the essential information to each preset structure variable
The step of analysis result forms the variable relation view between different preset structure variables, specifically includes: obtaining at least one
Default statistics theme；It determines in each preset structure variable and presets the statistics associated target structural variable of theme with each；Root
It is formed and each default statistics associated each target of theme according to the statistic analysis result of the essential information to target structural variable
Variable relation view between structured variable, and indicate associated each with each default statistics theme using third preset pattern
Variable relation view between target structural variable.
In the technical scheme, different preset structures can be constructed by way of presetting common statistics theme
Variable relation view between variable summarizes preset structure variable related with same default statistics theme, and
Statistical analysis based on the essential information to the target structural variable filtered out generates associated with same default statistics theme
Variable relation view between each target structural variable can further use parallel coordinates figure, star graph, matrix scatterplot
Figure, polyhedron figure etc. more intuitively show the statistical relationship between different structured variables.
Wherein, presetting statistics theme includes but is not limited to: medical expense theme, therapeutic effect theme, disease theme, time
Theme.
In any of the above-described technical solution, it is preferable that the method for visualizing of structured medical data further include: when receiving
When the regulating command of user's input, default classification standard, preset areas are adjusted according to the adjustment parameter for including in regulating command is corresponding
Between, one or more of preset value, default statistics theme, the first preset pattern, the second preset pattern and third preset pattern.
In the technical scheme, in order to meet the needs of users the visualization result to structured medical data more,
It, can be during realizing visually and after the corresponding view of output according to the need of user in order to subsequent data mining etc.
It asks and adjusts corresponding parameter, realize human-computer interaction function friendly in the visualization process of structured medical data, promote user
Experience；Specifically, user at least can be to default classification standard, each preset structure of filtering for classifying to medical medical record
The pre-set interval and preset value and the default statistics theme of setting of the value of change variable, and structured medical can also be changed
The visual view of data.
The second aspect of the present invention proposes a kind of visualization device of structured medical data, comprising: obtains module, uses
In the essential information for obtaining each preset structure variable for including in each medical medical record；Processing module, for according to acquisition mould
It is corresponding that the statistic analysis result of the essential information for each preset structure variable that block obtains forms each preset structure variable
Information arrangement view and/or form variable relation view between different preset structure variables；Output module, for exporting
And show information arrangement view and/or variable relation view.
In the technical scheme, by the essential information to each preset structure variable for including in each medical medical record into
It goes and statisticallys analyze, and then not only can draw its information arrangement view for each preset structure variable can also draw embodiment
The variable relation view of relevance between different preset structure variables, and it is able to carry out information arrangement view and/or change
The output of magnitude relation view is shown, realizes the visualization processing to structured medical data, is allowed the user to more intuitive
Ground understands the essential information situation of structured medical data, so that user more easily carries out structured medical data
It excavates, not only saves human resources, additionally it is possible to improve the efficiency of data mining.
In the above-mentioned technical solutions, it is preferable that the visualization device of structured medical data further include: detection module is used
In before the essential information that acquisition module obtains each preset structure variable for including in each medical medical record, detect whether to receive
The sort instructions for each medical medical record inputted to user；Categorization module, when detection module detection receives sort instructions,
All medical medical records are classified according to the default classification standard for including in sort instructions, with each doctor obtained for classification
It treats medical record group and executes the essential information and shape for obtaining each preset structure variable for including in wherein each medical medical record respectively
The step of at information arrangement view and/or variable relation view；And it obtains module and does not receive classification in detection module detection
When instruction, direct the step of executing the essential information for obtaining each preset structure variable for including in each medical medical record.
In the technical scheme, further in order to more easily realize the visualization of structured medical data, and make
Variable relation view between the information arrangement view and/or preset structure variable of the preset structure variable arrived is more intuitive
Ground shows its essential information data cases, can own previously according to the actual demand of user to needing to carry out visualization processing
Medical medical record is classified, and realizes the data mining of more targeted structured medical data.
In any of the above-described technical solution, it is preferable that the essential information of each preset structure variable include one or more of
Combination: variable's attribute information, types of variables information and variable-value information；And processing module is specifically used for: when according to every
When the variable's attribute information and/or types of variables information of a preset structure variable determine that it is continuous variable, obtain each pre-
It is default using first if the first object variable-value information in the variable-value information of structured variable in pre-set interval
The corresponding information arrangement view of graphical representation first object variable-value information；When the variable according to each preset structure variable
When attribute information and/or types of variables information determine that it is discrete variable, the variable-value of each preset structure variable is obtained
Frequency in information is higher than the second target variable value information of preset value, indicates the second target variable using the second preset pattern
The corresponding information arrangement view of value information.
In the technical scheme, the essential information for each preset structure variable for including in each medical medical record includes but unlimited
In following one or a variety of combinations: variable's attribute information, such as character attibute, numerical attribute, time attribute etc.；Types of variables
Information, such as discrete variable, continuous variable；Variable-value information, such as value interval, value classification etc..
Further, change belonging to it has been determined when carrying out analysis by the essential information to each preset structure variable
It then can be using correspondingly visualized graphs, specifically can be according to each to its further progress visualization processing after amount type
The variable's attribute information and/or types of variables information of preset structure variable determine its types of variables, and then are become based on this to it
It measures value information and carries out automatic processing, reasonably bad data point can be filtered out by display data, then graphing
It realizes visualization, then when preset structure variable is continuous variable, can be cut according to the characteristic distributions of continuous value interval
Significant section is taken, that is, filters out exceptional value or unessential section, is located at its value interval in pre-set interval, specifically
The information arrangement view of continuous variable can be shown by histogram, box traction substation etc., and when preset structure variable is discrete change
When amount, frequency taking higher than preset value can be selected according to the frequency disribution feature of the value classification of the preset structure variable
It is worth classification, the information arrangement view of discrete variable can be specifically shown by pie chart, bar chart etc..It, can be with by above scheme
The bad data of preset structure variable is filtered out, only constructs its information arrangement view according to reasonable, significant data, from
And it ensure that the accuracy of building information arrangement view.
Wherein, for the value condition to continuous variable it is filtered the pre-set interval of processing and for discrete variable
The preset value that value condition is filtered processing can be specifically arranged according to actual needs.Further, work as preset structure
Changing variable is when can be with the variable of natural ordering, such as the time, then can first be ranked up, then carry out again the filtering of value with
And correspondingly visualization processing.
In any of the above-described technical solution, it is preferable that processing module specifically includes: acquisition submodule, for obtaining at least
One default statistics theme；It determines submodule, is associated with for determining in each preset structure variable with each default statistics theme
Target structural variable；Submodule is handled, for the statistic analysis result according to the essential information to target structural variable
The variable relation view between each default statistics associated each target structural variable of theme is formed, and default using third
Variable relation view between graphical representation and each default statistics associated each target structural variable of theme.
In the technical scheme, different preset structures can be constructed by way of presetting common statistics theme
Variable relation view between variable summarizes preset structure variable related with same default statistics theme, and
Statistical analysis based on the essential information to the target structural variable filtered out generates associated with same default statistics theme
Variable relation view between each target structural variable can further use parallel coordinates figure, star graph, matrix scatterplot
Figure, polyhedron figure etc. more intuitively show the statistical relationship between different structured variables.
Wherein, presetting statistics theme includes but is not limited to: medical expense theme, therapeutic effect theme, disease theme, time
Theme.
In any of the above-described technical solution, it is preferable that the visualization device of structured medical data further include: adjust mould
Block, for being preset according to corresponding adjust of the adjustment parameter for including in regulating command when receiving the regulating command of user's input
Classification standard, pre-set interval, preset value, default statistics theme, the first preset pattern, the second preset pattern and third preset pattern
One or more of.
In the technical scheme, in order to meet the needs of users the visualization result to structured medical data more,
It, can be during realizing visually and after the corresponding view of output according to the need of user in order to subsequent data mining etc.
It asks and adjusts corresponding parameter, realize human-computer interaction function friendly in the visualization process of structured medical data, promote user
Experience；Specifically, user at least can be to default classification standard, each preset structure of filtering for classifying to medical medical record
The pre-set interval and preset value and the default statistics theme of setting of the value of change variable, and structured medical can also be changed
The visual view of data.
The third aspect of the present invention proposes a kind of computer equipment, and the computer equipment includes processor, the place
Reason device realizes the structure as described in any one of above-mentioned technical proposal when being used to execute the computer program stored in memory
The step of changing the method for visualizing of medical data.
The fourth aspect of the present invention proposes a kind of computer readable storage medium, is stored thereon with computer program, institute
It states realizing the structured medical data as described in any one of above-mentioned technical proposal when computer program is executed by processor
The step of method for visualizing.
According to the technical solution of the present invention, the visualization to structured medical data can be effectively realized, so that
User more easily excavates structured medical data.
Detailed description of the invention
Fig. 1 shows the flow diagram of the method for visualizing of the structured medical data of the embodiment of the present invention；
Fig. 2 shows the method flow schematic diagrams of the building variable relation view of the embodiment of the present invention；
Fig. 3 shows the information arrangement view of the embodiment of the present invention；
Fig. 4 shows the variable relation view of the embodiment of the present invention；
Fig. 5 shows the schematic block diagram of the visualization device of the structured medical data of the embodiment of the present invention；
Fig. 6 shows the schematic block diagram of processing module shown in fig. 5；
Fig. 7 shows the schematic block diagram of the computer equipment of the embodiment of the present invention.
Specific embodiment
It is with reference to the accompanying drawing and specific real in order to be more clearly understood that the above objects, features and advantages of the present invention
Applying mode, the present invention is further described in detail.It should be noted that in the absence of conflict, the implementation of the application
Feature in example and embodiment can be combined with each other.
In the following description, numerous specific details are set forth in order to facilitate a full understanding of the present invention, still, the present invention may be used also
To be implemented using other than the one described here other modes, therefore, protection scope of the present invention is not by described below
Specific embodiment limitation.
Fig. 1 shows the flow diagram of the method for visualizing of the structured medical data of the embodiment of the present invention.
As shown in Figure 1, the method for visualizing of structured medical data according to an embodiment of the present invention, specifically includes to flow down
Journey step:
Step 102, the essential information for each preset structure variable for including in each medical medical record is obtained.
It is understood that it is each medical treatment medical record in include preset structure variable at least may include: the age, gender,
Disease, department, medical expense, treatment time etc..
Step 104, it is formed according to the statistic analysis result of the essential information to each preset structure variable each default
Variable relation view between the corresponding information arrangement view of structured variable and/or the different preset structure variables of formation.
Step 106, export and show information arrangement view and/or variable relation view.
In this embodiment, it is carried out by the essential information to each preset structure variable for including in each medical medical record
Statistical analysis, and then can not only draw its information arrangement view for each preset structure variable and can also draw and embody not
The variable relation view of relevance between same preset structure variable, and it is able to carry out information arrangement view and/or variable
The output of relational view is shown, is realized the visualization processing to structured medical data, is allowed the user to more intuitively
The essential information situation for understanding structured medical data, so that user more easily digs structured medical data
Pick, not only saves human resources, additionally it is possible to improve the efficiency of data mining.
Further, in the above-described embodiments, before step 102, the structured medical data of the embodiment of the present invention
Method for visualizing can also include following below scheme step:
It detects whether to receive the sort instructions for each medical medical record that user inputs；If so, according in sort instructions
The default classification standard for including classifies all medical medical records, each of to obtain medical medical record group difference for classification
It executes the essential information for obtaining each preset structure variable for including in wherein each medical medical record and forms information arrangement view
And/or the step of variable relation view；If it is not, directly executing each preset structure variable for obtaining and including in each medical medical record
The step of essential information.
In this embodiment, further in order to more easily realize the visualization of structured medical data, and make to obtain
Preset structure variable information arrangement view and/or preset structure variable between variable relation view more intuitively
Show its essential information data cases, can previously according to user actual demand to all doctors for needing to carry out visualization processing
It treats medical record to classify, realizes the data mining of more targeted structured medical data.
Specifically, can classify according to disease category, such as cardiovascular and cerebrovascular disease, skin disease, gynecological disease etc..
Further, in the above-described embodiments, the group that the essential information of each preset structure variable one or more of includes
It closes: variable's attribute information, types of variables information and variable-value information.
It is understood that the essential information for each preset structure variable for including in each medical treatment medical record includes but is not limited to
Following one or a variety of combinations: variable's attribute information, such as character attibute, numerical attribute, time attribute etc.；Types of variables letter
Breath, such as discrete variable, continuous variable；Variable-value information, such as value interval, value classification etc..
Further, in the above-described embodiments, according to the basic of each preset structure variable described in step 104
The scheme that the statistic analysis result of information forms the corresponding information arrangement view of each preset structure variable can be executed specifically
Are as follows:
When determining that it is continuous change according to the variable's attribute information and/or types of variables information of each preset structure variable
When amount, the first object variable-value letter in the variable-value information of each preset structure variable in pre-set interval is obtained
Breath indicates the corresponding information arrangement view of first object variable-value information using the first preset pattern.
It is understood that when preset structure variable is continuous variable, it can be according to point of continuous value interval
Cloth feature, intercepts significant section, that is, filters out exceptional value or unessential section, its value interval is made to be located at pre-set interval
It is interior, the information arrangement view of continuous variable can be specifically shown by histogram, box traction substation etc..
Further, when showing the information arrangement view of continuous variable, it can also count and show its average value, centre
Value, median, most value, variance.
When determining that it is discrete change according to the variable's attribute information and/or types of variables information of each preset structure variable
When amount, the second target variable value that the frequency in the variable-value information of each preset structure variable is higher than preset value is obtained
Information indicates the corresponding information arrangement view of the second target variable value information using the second preset pattern.
It is understood that when preset structure variable is discrete variable, it can be according to the preset structure variable
The frequency disribution feature of value classification selects the value classification that frequency is higher than preset value, can specifically pass through pie chart, bar chart etc.
Show the information arrangement view of discrete variable.
Further, when showing the information arrangement view of discrete variable, it can also count and show its value classification
The average value of frequency, median, median, most value and variance.
In this embodiment, it has determined belonging to it when carrying out analysis by the essential information to each preset structure variable
Types of variables after then can be using correspondingly visualized graphs, specifically can basis to its further progress visualization processing
The variable's attribute information and/or types of variables information of each preset structure variable determine its types of variables, and then right based on this
Its variable-value information carries out automatic processing and is then drawn with that reasonably can filter out bad data point by display data
Image hotpoint visualization；And through the foregoing embodiment, the bad data of preset structure variable can be filtered out, basis
Rationally, significant data construct its information arrangement view, to ensure that the accuracy of building information arrangement view.
It will be further understood that pre-set interval and use for being filtered processing to the value condition of continuous variable
Can specifically it be arranged according to actual needs in the preset value that the value condition to discrete variable is filtered processing.
It will be further understood that when preset structure variable be can be with the variable of natural ordering when, such as time, then
It can first be ranked up, then carry out the filtering and correspondingly visualization processing of value again.
Further, in the above-described embodiments, according to the basic of each preset structure variable described in step 104
The statistic analysis result of information formed the variable relation view between different preset structure variables scheme can specifically according to
Process as shown in Figure 2 is executed, comprising:
Step S20 obtains at least one default statistics theme.
It is understood that
Step S22 is determined in each preset structure variable and is preset the statistics associated target structural variable of theme with each.
Step S24 is formed and each default system according to the statistic analysis result of the essential information to target structural variable
Count the variable relation view between the associated each target structural variable of theme, and using third preset pattern indicate with it is each pre-
If counting the variable relation view between the associated each target structural variable of theme.
In this embodiment it is possible to which the different preset structureizations of building become by way of presetting common statistics theme
Variable relation view between amount summarizes preset structure variable related with same default statistics theme, and base
It is generated in the statistical analysis of the essential information to the target structural variable filtered out associated each with same default statistics theme
Variable relation view between target structural variable can further use parallel coordinates figure, star graph, matrix scatterplot
Figure, polyhedron figure etc. more intuitively show the statistical relationship between different structured variables.
Wherein, presetting statistics theme includes but is not limited to: medical expense theme, therapeutic effect theme, disease theme, time
Theme.
Further, in the above-described embodiments, the method for visualizing of structured medical data further include: when receiving user
When the regulating command of input, according to the corresponding default classification standard, pre-set interval, pre- of adjusting of the adjustment parameter for including in regulating command
If one or more of value, default statistics theme, the first preset pattern, the second preset pattern and third preset pattern.
In this embodiment, in order to meet the needs of users the visualization result to structured medical data more, with
It, can be during realizing visually and after the corresponding view of output according to the demand of user convenient for subsequent data mining etc.
Corresponding parameter is adjusted, realizes human-computer interaction function friendly in the visualization process of structured medical data, promotes user's body
It tests；Specifically, user at least can be to default classification standard, each preset structure of filtering for classifying to medical medical record
The pre-set interval and preset value of the value of variable and the default statistics theme of setting, and structured medical number can also be changed
According to visual view.
For example, user can adjust the transverse and longitudinal coordinate range of histogram by way of mouse or dialog box；User can
Field relational graph required for medical problem and the medical problem is defined with oneself, it can be with the customized level for dividing field
Standard and condition, and be adjusted, to realize human-computer interaction.
The visualization scheme of structured medical data of the invention is illustrated by taking cardiovascular and cerebrovascular disease as an example below.Tool
Body, the preset structure variable for including in each medical medical record of cardiovascular and cerebrovascular disease include: the age, gender, disease, department,
Medical expense, treatment time etc..
Further, gender, disease name, department's title can be determined according to the essential information of each preset structure variable
It for character attibute and is discrete variable, age, medical expense are numerical attribute and are continuous variable, and when treatment time is
Between attribute and can be considered discrete variable.
For example, for discrete variable disease and department, each disease name and each department's title are exactly its value
Classification, and since disease number and department's number are more, the higher several disease names of frequency of value classification can be selected
The drafting for carrying out the information arrangement view of discrete variable, can draw pie chart or bar chart, for example department's frequency is higher includes
Cardiological, Neurology, neurosurgery, information distributing plan are as shown in Figure 3；And histogram can be used for continuous variable medical expense
Figure carries out the drafting of information distributing plan, and medical expense can also specifically refine are as follows: cost of hospitalization, Operation Fee, drug take, nurse is taken and
Total medical expense etc..
Further, if above-mentioned variable is the variable of predefined type, the variable of the predefined type is can be with natural ordering
Variable, such as time, age, then can first sort and construct information distributing plan again, so that the information distributing plan constructed is more
Added with order, user is facilitated to check.
Further, for the variable relation view between different preset structure variables, for example, for disease main body,
All ages and classes can be drawn, different sexes obtain the distribution map of certain disease；It is the theme with medical expense, different diseases can be drawn
Medical expense distribution map between disease, different department, the relational graph between total cost and surgery cost etc.；Based on treatment time
Topic, can draw various disease in the incidence graph of Various Seasonal；Further in these relational graphs, different changes can also be calculated
The statistics such as correlativity coefficient and design conditions probability between amount.
As shown in figure 4, the variable relation view of building is tetrahedral figure, four vertex in the variable relation view
Respectively correspond a variable, i.e., this four variables of a total of season, disease, medical expense and treatment time.In the variable relation
The vertex size of each variable is different in view, and vertex size reflects the score of variable, and line segment is thick between two variables
It is carefully also different, line segment is thicker, illustrates that the correlation between the two variables is bigger.
Fig. 5 shows the schematic block diagram of the visualization device of the structured medical data of the embodiment of the present invention.
As shown in figure 5, the visualization device 50 of structured medical data according to an embodiment of the present invention, comprising: obtain mould
Block 502, processing module 504 and output module 506.
Wherein, the essential information that module 502 is used to obtain each preset structure variable in each medical medical record included is obtained；
Processing module 504 is used for according to the statistical analysis to the essential information for obtaining each preset structure variable that module 502 obtains
As a result it forms the corresponding information arrangement view of each preset structure variable and/or is formed between different preset structure variables
Variable relation view；Output module 506 is for exporting and showing information arrangement view and/or variable relation view.
In this embodiment, it is carried out by the essential information to each preset structure variable for including in each medical medical record
Statistical analysis, and then can not only draw its information arrangement view for each preset structure variable and can also draw and embody not
The variable relation view of relevance between same preset structure variable, and it is able to carry out information arrangement view and/or variable
The output of relational view is shown, is realized the visualization processing to structured medical data, is allowed the user to more intuitively
The essential information situation for understanding structured medical data, so that user more easily digs structured medical data
Pick, not only saves human resources, additionally it is possible to improve the efficiency of data mining.
Further, as shown in figure 5, in the above-described embodiments, the visualization device 50 of structured medical data further include:
Detection module 508 and categorization module 510.
Wherein, detection module 508 is used to obtain each preset structureization for including in each medical medical record in acquisition module 502 and become
Before the essential information of amount, the sort instructions for each medical medical record for receiving user's input are detected whether；Categorization module 510
When the detection of detection module 508 receives sort instructions, according to the default classification standard for including in sort instructions by all medical treatment
Medical record is classified, and executing acquisition respectively each of to obtain medical medical record group for classification wherein wraps in each medical treatment medical record
The essential information of each preset structure variable contained and the step of form information arrangement view and/or variable relation view；And
Module 502 is obtained when the detection of detection module 508 does not receive sort instructions, directly execution, which obtains in each medical medical record, includes
The step of essential information of each preset structure variable.
In this embodiment, further in order to more easily realize the visualization of structured medical data, and make to obtain
Preset structure variable information arrangement view and/or preset structure variable between variable relation view more intuitively
Show its essential information data cases, can previously according to user actual demand to all doctors for needing to carry out visualization processing
It treats medical record to classify, realizes the data mining of more targeted structured medical data.
Further, in the above-described embodiments, the group that the essential information of each preset structure variable one or more of includes
It closes: variable's attribute information, types of variables information and variable-value information；And processing module 504 is specifically used for: when according to each
When the variable's attribute information and/or types of variables information of preset structure variable determine that it is continuous variable, obtain each default
First object variable-value information in the variable-value information of structured variable in pre-set interval, using the first default figure
Shape indicates the corresponding information arrangement view of first object variable-value information；When the variable category according to each preset structure variable
Property information and/or types of variables information when determining that it is discrete variable, obtain the variable-value letter of each preset structure variable
Frequency in breath is higher than the second target variable value information of preset value, indicates that the second target variable takes using the second preset pattern
The corresponding information arrangement view of value information.
In this embodiment, the essential information for each preset structure variable for including in each medical medical record includes but is not limited to
Following one or a variety of combinations: variable's attribute information, such as character attibute, numerical attribute, time attribute etc.；Types of variables letter
Breath, such as discrete variable, continuous variable；Variable-value information, such as value interval, value classification etc..
Further, change belonging to it has been determined when carrying out analysis by the essential information to each preset structure variable
It then can be using correspondingly visualized graphs, specifically can be according to each to its further progress visualization processing after amount type
The variable's attribute information and/or types of variables information of preset structure variable determine its types of variables, and then are become based on this to it
It measures value information and carries out automatic processing, reasonably bad data point can be filtered out by display data, then graphing
It realizes visualization, then when preset structure variable is continuous variable, can be cut according to the characteristic distributions of continuous value interval
Significant section is taken, that is, filters out exceptional value or unessential section, is located at its value interval in pre-set interval, specifically
The information arrangement view of continuous variable can be shown by histogram, box traction substation etc., and when preset structure variable is discrete change
When amount, frequency taking higher than preset value can be selected according to the frequency disribution feature of the value classification of the preset structure variable
It is worth classification, the information arrangement view of discrete variable can be specifically shown by pie chart, bar chart etc..It, can be with by above scheme
The bad data of preset structure variable is filtered out, only constructs its information arrangement view according to reasonable, significant data, from
And it ensure that the accuracy of building information arrangement view.
Wherein, for the value condition to continuous variable it is filtered the pre-set interval of processing and for discrete variable
The preset value that value condition is filtered processing can be specifically arranged according to actual needs.Further, work as preset structure
Changing variable is when can be with the variable of natural ordering, such as the time, then can first be ranked up, then carry out again the filtering of value with
And correspondingly visualization processing.
Further, in the above-described embodiments, processing module 504 specifically includes: acquisition submodule 5042 determines submodule
5044 and processing submodule 5046, as shown in Figure 6.
Wherein, acquisition submodule 5042 is for obtaining at least one default statistics theme；Determine that submodule 5044 is used for really
The statistics associated target structural variable of theme is preset with each in fixed each preset structure variable；Processing submodule 5046 is used for
It is formed and each default statistics associated each mesh of theme according to the statistic analysis result of the essential information to target structural variable
The variable relation view between structured variable is marked, and indicates associated with each default statistics theme using third preset pattern
Variable relation view between each target structural variable.
In this embodiment it is possible to which the different preset structureizations of building become by way of presetting common statistics theme
Variable relation view between amount summarizes preset structure variable related with same default statistics theme, and base
It is generated in the statistical analysis of the essential information to the target structural variable filtered out associated each with same default statistics theme
Variable relation view between target structural variable can further use parallel coordinates figure, star graph, matrix scatterplot
Figure, polyhedron figure etc. more intuitively show the statistical relationship between different structured variables.
Wherein, presetting statistics theme includes but is not limited to: medical expense theme, therapeutic effect theme, disease theme, time
Theme.
Further, as shown in figure 5, in the above-described embodiments, the visualization device 50 of structured medical data further include:
Adjustment module 512, for being corresponded to according to the adjustment parameter for including in regulating command when receiving the regulating command of user's input
Adjust default classification standard, pre-set interval, preset value, default statistics theme, the first preset pattern, the second preset pattern and third
One or more of preset pattern.
In this embodiment, in order to meet the needs of users the visualization result to structured medical data more, with
It, can be during realizing visually and after the corresponding view of output according to the demand of user convenient for subsequent data mining etc.
Corresponding parameter is adjusted, realizes human-computer interaction function friendly in the visualization process of structured medical data, promotes user's body
It tests；Specifically, user at least can be to default classification standard, each preset structure of filtering for classifying to medical medical record
The pre-set interval and preset value of the value of variable and the default statistics theme of setting, and structured medical number can also be changed
According to visual view.
As an embodiment of the present invention, a kind of server is proposed, including described in any one of embodiment as above
The visualization device 50 of structured medical data, therefore, the server have the visualization device 50 of the structured medical data
All beneficial technical effects, details are not described herein.
Fig. 7 shows the schematic block diagram of the computer equipment of the embodiment of the present invention.
As shown in fig. 7, the computer equipment 70 of embodiment according to an embodiment of the present invention, including memory 702, processor
704 and it is stored in the computer program that can be run on the memory 702 and on the processor 704, wherein memory 702
It can be connected by bus between processor 704, the processor 704 is for executing the computer stored in memory 702
The step of as above method for visualizing of structured medical data as described in the examples is realized when program.
Step in the method for the embodiment of the present disclosure can be sequentially adjusted, merged and deleted according to actual needs.
Unit in the visualization device and computer equipment of the structured medical data of the embodiment of the present disclosure can basis
Actual needs is combined, divided and deleted.
According to the embodiment of the present disclosure, a kind of computer readable storage medium is proposed, is stored thereon with computer program, institute
State the feature extracting method that the structured medical data as described in above-described embodiment is realized when computer program is executed by processor
The step of.
Further, one of ordinary skill in the art will appreciate that whole in the various methods of above-described embodiment
Or part steps are relevant hardware can be instructed to complete by program, which can store computer-readable deposits in one
In storage media, storage medium includes read-only memory (Read-Only Memory, ROM), random access memory (Random
Access Memory, RAM), it is programmable read only memory (Programmable Read-only Memory, PROM), erasable
Only except programmable read only memory (Erasable Programmable Read Only Memory, EPROM), disposable programmable
Reading memory (One-time Programmable Read-Only Memory, OTPROM), the electronics formula of erasing can make carbon copies read-only
Memory (Electrically-Erasable Programmable Read-Only Memory, EEPROM), CD-ROM
(Compact Disc Read-Only Memory, CD-ROM) or other disc memories, magnetic disk storage, magnetic tape storage,
Or it can be used in any other computer-readable medium of carrying or storing data.
Further, above-mentioned computer equipment can hold for PC (Personal Computer, PC).
The technical scheme of the present invention has been explained in detail above with reference to the attached drawings, according to the technical solution of the present invention, can be effective
The visualization to structured medical data is realized on ground, so that user more easily digs structured medical data
Pick.
The foregoing is only a preferred embodiment of the present invention, is not intended to restrict the invention, for the skill of this field
For art personnel, the invention may be variously modified and varied.All within the spirits and principles of the present invention, made any to repair
Change, equivalent replacement, improvement etc., should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of method for visualizing of structured medical data characterized by comprising
Obtain the essential information for each preset structure variable for including in each medical medical record；
Each preset structureization is formed according to the statistic analysis result of the essential information to each preset structure variable to become
It measures corresponding information arrangement view and/or forms the variable relation view between different preset structure variables；
Export and show the information arrangement view and/or the variable relation view.
2. the method for visualizing of structured medical data according to claim 1, which is characterized in that obtain each medical treatment described
Before the step of essential information for each preset structure variable for including in medical record, further includes:
It detects whether to receive the sort instructions for each medical medical record that user inputs；
If so, all medical medical records are classified according to the default classification standard for including in the sort instructions, divided with being directed to
Class each of obtains medical medical record group and executes each preset structure for obtaining and including in wherein each medical treatment medical record respectively
The essential information of variable and the step of form the information arrangement view and/or the variable relation view；
If it is not, the step of directly executing the essential information for obtaining each preset structure variable for including in each medical medical record.
3. the method for visualizing of structured medical data according to claim 2, which is characterized in that each preset structure
Change the combination that the essential information of variable one or more of includes: variable's attribute information, types of variables information and variable-value information；
And
The basis forms each preset structure to the statistic analysis result of the essential information of each preset structure variable
The step of changing variable corresponding information arrangement view, specifically includes:
When determining that it is continuous change according to the variable's attribute information and/or types of variables information of each preset structure variable
When amount, obtains the first object variable in the variable-value information of each preset structure variable in pre-set interval and take
Value information indicates the corresponding information arrangement view of the first object variable-value information using the first preset pattern；
When determining that it is discrete change according to the variable's attribute information and/or types of variables information of each preset structure variable
When amount, the second target variable that the frequency in the variable-value information of each preset structure variable is higher than preset value is obtained
Value information indicates the corresponding information arrangement view of the second target variable value information using the second preset pattern.
4. the method for visualizing of structured medical data according to claim 3, which is characterized in that the basis is to each
The statistic analysis result of the essential information of preset structure variable forms the view of the variable relation between different preset structure variables
The step of figure, specifically includes:
Obtain at least one default statistics theme；
It determines in each preset structure variable and presets the statistics associated target structural variable of theme with each；
It is formed and each default statistics master according to the statistic analysis result of the essential information to the target structural variable
Inscribe the variable relation view between associated each target structural variable, and using third preset pattern indicate with it is described each pre-
If counting the variable relation view between the associated each target structural variable of theme.
5. the method for visualizing of structured medical data according to claim 4, which is characterized in that further include:
When receiving the regulating command of user's input, according to the corresponding adjusting of the adjustment parameter for including in the regulating command
Default classification standard, the pre-set interval, the preset value, the default statistics theme, first preset pattern, described the
One or more of two preset patterns and the third preset pattern.
6. a kind of visualization device of structured medical data characterized by comprising
Module is obtained, for obtaining the essential information for each preset structure variable for including in each medical medical record；
Processing module, for according to the statistical to the essential information for obtaining each preset structure variable that module obtains
Analysis result forms the corresponding information arrangement view of each preset structure variable and/or forms different preset structure variables
Between variable relation view；
Output module, for exporting and showing the information arrangement view and/or the variable relation view.
7. the visualization device of structured medical data according to claim 6, which is characterized in that further include:
Detection module, for obtaining the basic letter for each preset structure variable for including in each medical medical record in the acquisition module
Before breath, the sort instructions for each medical medical record for receiving user's input are detected whether；
Categorization module, when detection module detection receives the sort instructions, according to including in the sort instructions
Default classification standard classifies all medical medical records, is executed respectively with each of to obtain medical medical record group for classification and is obtained
It takes the essential information for each preset structure variable for including in wherein each medical medical record and forms the information distribution view
The step of figure and/or the variable relation view；And
The acquisition module directly executes each doctor of acquisition when detection module detection does not receive the sort instructions
The step for the treatment of the essential information for each preset structure variable for including in medical record.
8. the visualization device of structured medical data according to claim 7, which is characterized in that each preset structure
Change the combination that the essential information of variable one or more of includes: variable's attribute information, types of variables information and variable-value information；
And
The processing module is specifically used for:
When determining that it is continuous change according to the variable's attribute information and/or types of variables information of each preset structure variable
When amount, obtains the first object variable in the variable-value information of each preset structure variable in pre-set interval and take
Value information indicates the corresponding information arrangement view of the first object variable-value information using the first preset pattern；
When determining that it is discrete change according to the variable's attribute information and/or types of variables information of each preset structure variable
When amount, the second target variable that the frequency in the variable-value information of each preset structure variable is higher than preset value is obtained
Value information indicates the corresponding information arrangement view of the second target variable value information using the second preset pattern.
9. the visualization device of structured medical data according to claim 9, which is characterized in that the processing module tool
Body includes:
Acquisition submodule, for obtaining at least one default statistics theme；
It determines submodule, presets the statistics associated object construction of theme with each for determining in each preset structure variable
Change variable；
Handle submodule, for according to the statistic analysis result to the essential information of the target structural variable formed with it is described
Variable relation view between each default statistics associated each target structural variable of theme, and use third preset pattern table
Show the variable relation view between each default statistics associated each target structural variable of theme.
10. the visualization device of structured medical data according to claim 9, which is characterized in that further include:
Adjustment module, for being joined according to the adjusting for including in the regulating command when receiving the regulating command of user's input
Number is corresponding to adjust the default classification standard, the pre-set interval, the preset value, the default statistics theme, described first
One or more of preset pattern, second preset pattern and described third preset pattern.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710624251.0A CN110019491B (en) | 2017-07-27 | 2017-07-27 | Visualization method, visualization device, computer device, and storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201710624251.0A CN110019491B (en) | 2017-07-27 | 2017-07-27 | Visualization method, visualization device, computer device, and storage medium |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110019491A true CN110019491A (en) | 2019-07-16 |
| CN110019491B CN110019491B (en) | 2023-07-04 |
Family
ID=67185987
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201710624251.0A Active CN110019491B (en) | 2017-07-27 | 2017-07-27 | Visualization method, visualization device, computer device, and storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110019491B (en) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110675925A (en) * | 2019-08-31 | 2020-01-10 | 南京医渡云医学技术有限公司 | Data output method and device based on dynamic distribution diagram |
| CN111190902A (en) * | 2019-12-25 | 2020-05-22 | 南京医睿科技有限公司 | Medical data structuring method, device, equipment and storage medium |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101599088A (en) * | 2008-11-18 | 2009-12-09 | 北京美智医疗科技有限公司 | The mining multi-dimensional data system and method for medical information system |
| US20120197619A1 (en) * | 2011-01-27 | 2012-08-02 | Einav Namer Yelin | System and method for generating a patient-specific digital image-based model of an anatomical structure |
| CN102819656A (en) * | 2011-06-10 | 2012-12-12 | 中国科学院深圳先进技术研究院 | System and method for generating electronic medical record |
| US20140038152A1 (en) * | 2012-07-31 | 2014-02-06 | Sandro Micieli | Medical visualization method and system |
| CN103778346A (en) * | 2014-02-18 | 2014-05-07 | 中国科学院上海技术物理研究所 | Medical information processing method and device |
| CN103793611A (en) * | 2014-02-18 | 2014-05-14 | 中国科学院上海技术物理研究所 | Medical information visualization method and device |
| CN105095653A (en) * | 2015-07-13 | 2015-11-25 | 湖南互动传媒有限公司 | Basic service system for medical large data application |
| CN105808712A (en) * | 2016-03-07 | 2016-07-27 | 陈宽 | Intelligent system and method for converting text type medical reports into structured data |
| CN106649431A (en) * | 2016-08-31 | 2017-05-10 | 天津南大通用数据技术股份有限公司 | Method of displaying charts in data visualization |
| CN106919671A (en) * | 2017-02-20 | 2017-07-04 | 广东省中医院 | A kind of traditional Chinese medical science text medical record is excavated and aid decision intelligence system |
-
2017
- 2017-07-27 CN CN201710624251.0A patent/CN110019491B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101599088A (en) * | 2008-11-18 | 2009-12-09 | 北京美智医疗科技有限公司 | The mining multi-dimensional data system and method for medical information system |
| US20120197619A1 (en) * | 2011-01-27 | 2012-08-02 | Einav Namer Yelin | System and method for generating a patient-specific digital image-based model of an anatomical structure |
| CN102819656A (en) * | 2011-06-10 | 2012-12-12 | 中国科学院深圳先进技术研究院 | System and method for generating electronic medical record |
| US20140038152A1 (en) * | 2012-07-31 | 2014-02-06 | Sandro Micieli | Medical visualization method and system |
| CN103778346A (en) * | 2014-02-18 | 2014-05-07 | 中国科学院上海技术物理研究所 | Medical information processing method and device |
| CN103793611A (en) * | 2014-02-18 | 2014-05-14 | 中国科学院上海技术物理研究所 | Medical information visualization method and device |
| CN105095653A (en) * | 2015-07-13 | 2015-11-25 | 湖南互动传媒有限公司 | Basic service system for medical large data application |
| CN105808712A (en) * | 2016-03-07 | 2016-07-27 | 陈宽 | Intelligent system and method for converting text type medical reports into structured data |
| CN106649431A (en) * | 2016-08-31 | 2017-05-10 | 天津南大通用数据技术股份有限公司 | Method of displaying charts in data visualization |
| CN106919671A (en) * | 2017-02-20 | 2017-07-04 | 广东省中医院 | A kind of traditional Chinese medical science text medical record is excavated and aid decision intelligence system |
Non-Patent Citations (1)
| Title |
|---|
| 吴颖慧: "数据可视化背景下雷达图在医院管理中的应用" * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110675925A (en) * | 2019-08-31 | 2020-01-10 | 南京医渡云医学技术有限公司 | Data output method and device based on dynamic distribution diagram |
| CN111190902A (en) * | 2019-12-25 | 2020-05-22 | 南京医睿科技有限公司 | Medical data structuring method, device, equipment and storage medium |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110019491B (en) | 2023-07-04 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113613559A (en) | Electrocardiogram processing system for delineation and classification | |
| Monroe et al. | Temporal event sequence simplification | |
| CN101385641B (en) | Wave analysis method and device of physiological parameter | |
| US8392419B2 (en) | Computer research tool for the organization, visualization and analysis of metabolic-related clinical data and method thereof | |
| US8260631B2 (en) | Visual filtering to create logical associations in timeline based metaphors | |
| US20130124221A1 (en) | Real-time time series matrix pathophysiologic pattern processor and quality assessment method | |
| JP6072021B2 (en) | Evaluation system and evaluation method | |
| DE102012103089A1 (en) | System and machine-readable media for creating patient forecasts | |
| Atzmüller et al. | Semi-Automatic Visual Subgroup Mining using VIKAMINE. | |
| CN102667786A (en) | Protocol guided imaging procedure | |
| DE102012108430A1 (en) | Method for displaying fetal monitoring data in patient monitoring system e.g. fetal monitoring system, involves receiving user input as digital note, and maintaining digital note as portion of patient monitoring data | |
| EP2697729B1 (en) | Method and system for supporting the diagnosis of an object having at least one disturbance | |
| CN110164539A (en) | The analysis method of the scheduling of Medical Devices | |
| JP5449207B2 (en) | System for morphological feature analysis of physiological data | |
| Widanagamaachchi et al. | Interactive visualization and exploration of patient progression in a hospital setting | |
| CN110019491A (en) | Method for visualizing, visualization device, computer equipment and storage medium | |
| Ozery-Flato et al. | Fast and efficient feature engineering for multi-cohort analysis of EHR data | |
| CN107958710A (en) | Clinical quality analysis system and for presentation protocol fate map determine event best fit method and computer-readable medium | |
| CN108932299A (en) | The method and device being updated for the model to inline system | |
| CN110021386A (en) | Feature extracting method and feature deriving means, equipment, storage medium | |
| US11728041B2 (en) | Real-time time series matrix pathophysiologic pattern processor and quality assessment method | |
| US11183279B2 (en) | Method and apparatus for a treatment timeline user interface | |
| CN110010231A (en) | A kind of data processing system and computer readable storage medium | |
| Tsmots et al. | Information-Analytical Support to Medical Industry. | |
| CN109994171B (en) | Manifold visualization method and system for clinical path comparison |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant | ||
| PP01 | Preservation of patent right |
Effective date of registration: 20240202 Granted publication date: 20230704 |
|
| PP01 | Preservation of patent right |