CN109616165A - Medical information methods of exhibiting and device - Google Patents
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- CN109616165A CN109616165A CN201811319659.8A CN201811319659A CN109616165A CN 109616165 A CN109616165 A CN 109616165A CN 201811319659 A CN201811319659 A CN 201811319659A CN 109616165 A CN109616165 A CN 109616165A
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- 238000000034 method Methods 0.000 title claims abstract description 96
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- 238000003672 processing method Methods 0.000 claims description 4
- 208000037265 diseases, disorders, signs and symptoms Diseases 0.000 description 41
- 201000010099 disease Diseases 0.000 description 40
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- 206010000087 Abdominal pain upper Diseases 0.000 description 1
- 206010019233 Headaches Diseases 0.000 description 1
- 206010028391 Musculoskeletal Pain Diseases 0.000 description 1
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- 206010047700 Vomiting Diseases 0.000 description 1
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- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
- G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
- G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
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Abstract
The intelligent methods of exhibiting and device of the embodiment of the present application offer medical information, wherein this method comprises: receiving the target conditions information of target user's input；Feature extraction is carried out to the target conditions information according to preset feature extracting method, obtains characteristic data set, the characteristic data set includes at least one characteristic；The characteristic data set is matched with the characteristic in medical data base, obtain in the medical data base with target medical information corresponding to the matched characteristic of the characteristic data set；The target medical information is shown to the target user, therefore, is able to ascend the intelligence for obtaining medical information.
Description
Technical field
This application involves field of medical technology, and in particular to a kind of medical information methods of exhibiting and device.
Background technique
With gradually being combined for medical system and internet, medical system has obtained development energetically by internet.But
It is while medical system is combined with internet, there is also some areas for improvement.Intelligently obtaining state of an illness side
Face, incomplete due to technology, patient generally can not obtain opposite with the illness in the case where knowing itself state of an illness symptom
Medical information.
Summary of the invention
The embodiment of the present application provides a kind of medical information methods of exhibiting and device, is able to ascend the intelligence for obtaining medical information
Property.
The first aspect of the embodiment of the present application provides a kind of medical information methods of exhibiting, which comprises
Receive the target conditions information of target user's input；
Feature extraction is carried out to the target conditions information according to preset feature extracting method, obtains characteristic data set,
The characteristic data set includes at least one characteristic；
The characteristic data set is matched with the characteristic in medical data base, is obtained in the medical data base
With target medical information corresponding to the matched characteristic of the characteristic data set；
The target medical information is shown to the target user.
The second aspect of the embodiment of the present application provides a kind of medical information displaying device, and described device includes receiving list
Member, extraction unit, matching unit and display unit, wherein
Receiving unit, for receiving the target conditions information of target user's input；
Extraction unit is obtained for carrying out feature extraction to the target conditions information according to preset feature extracting method
To characteristic data set, the characteristic data set includes at least one characteristic；
Matching unit obtains institute for matching the characteristic data set with the characteristic in medical data base
State in medical data base with target medical information corresponding to the matched characteristic of the characteristic data set；
Display unit, for showing the target medical information to the target user.
The third aspect of the embodiment of the present application provides a kind of terminal, including processor, input equipment, output equipment and storage
Device, the processor, input equipment, output equipment and memory are connected with each other, wherein the memory is for storing computer
Program, the computer program include program instruction, and the processor is configured for calling described program instruction, are executed such as this
Apply for the step instruction in embodiment first aspect.
The fourth aspect of the embodiment of the present application provides a kind of computer readable storage medium, wherein above-mentioned computer can
Read the computer program that storage medium storage is used for electronic data interchange, wherein above-mentioned computer program executes computer
The step some or all of as described in the embodiment of the present application first aspect.
5th aspect of the embodiment of the present application provides a kind of computer program product, wherein above-mentioned computer program produces
Product include the non-transient computer readable storage medium for storing computer program, and above-mentioned computer program is operable to make to count
Calculation machine executes the step some or all of as described in the embodiment of the present application first aspect.The computer program product can be
One software installation packet.
Implement the embodiment of the present application, at least has the following beneficial effects:
By the embodiment of the present application, the target conditions information of target user's input is received, according to preset feature extraction side
Method carries out feature extraction to the target conditions information, obtains characteristic data set, and the characteristic data set includes at least one spy
Data are levied, the characteristic data set is matched with the characteristic in medical data base, is obtained in the medical data base
With target medical information corresponding to the matched characteristic of the characteristic data set, Xiang Suoshu target user shows the target
Medical information, therefore, user only need the target conditions information of imported disease, can obtain mesh corresponding with target conditions information
Mark medical information, compared with the existing technology in, user rapidly cannot obtain medical information according to illness information, can be certain
Intelligence and convenience that medical information obtains are promoted in degree.
Detailed description of the invention
In order to illustrate the technical solutions in the embodiments of the present application or in the prior art more clearly, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of application for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 provides a kind of interaction schematic diagram of the intelligent methods of exhibiting of medical information for the embodiment of the present application；
Fig. 2 provides a kind of flow diagram of the intelligent methods of exhibiting of medical information for the embodiment of the present application；
Fig. 3 provides the flow diagram of the intelligent methods of exhibiting of another medical information for the embodiment of the present application；
Fig. 4 provides the flow diagram of the intelligent methods of exhibiting of another medical information for the embodiment of the present application；
Fig. 5 provides the flow diagram of the intelligent methods of exhibiting of another medical information for the embodiment of the present application；
Fig. 6 is a kind of structural schematic diagram of terminal provided by the embodiments of the present application；
Fig. 7 shows the structural schematic diagram of device for the intelligence that the embodiment of the present application provides a kind of medical information.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present application, technical solutions in the embodiments of the present application carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of embodiments of the present application, instead of all the embodiments.It is based on
Embodiment in the application, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall in the protection scope of this application.
The description and claims of this application and term " first " in above-mentioned attached drawing, " second " etc. are for distinguishing
Different objects, are not use to describe a particular order.In addition, term " includes " and " having " and their any deformations, it is intended that
It is to cover and non-exclusive includes.Such as the process, method, system, product or equipment for containing a series of steps or units do not have
It is defined in listed step or unit, but optionally further comprising the step of not listing or unit, or optionally also wrap
Include other step or units intrinsic for these process, methods, product or equipment.
" embodiment " mentioned in this application is it is meant that a particular feature, structure, or characteristic described can be in conjunction with the embodiments
Included at least one embodiment of the application.The phrase, which occurs, in each position in the description might not each mean phase
Same embodiment, nor the independent or alternative embodiment with other embodiments mutual exclusion.Those skilled in the art are explicitly
Implicitly understand, embodiments described herein can be combined with other embodiments.
Electronic device involved by the embodiment of the present application may include the various handheld devices with wireless communication function,
Mobile unit, wearable device calculate equipment or are connected to other processing equipments and various forms of radio modem
User equipment (user equipment, UE), mobile station (mobile station, MS), terminal device (terminal
Device) etc..For convenience of description, apparatus mentioned above is referred to as electronic device.
In order to better understand the embodiment of the present application, briefly it is situated between to the intelligent methods of exhibiting of medical information first below
It continues.Referring to Fig. 1, Fig. 1 provides a kind of interaction schematic diagram of the intelligent methods of exhibiting of medical information for the embodiment of the present application.Such as
Shown in Fig. 1, intelligent methods of exhibiting includes: the target conditions letter of the imported disease in intelligent display systems 102 of target user 101
Breath, intelligent display systems 102 carry out feature extraction to target conditions information, obtain characteristic data set, and characteristic concentration includes
At least one characteristic, intelligent display systems 102 use characteristic data set, matched in medical data base, obtain with
The corresponding target medical information of characteristic data set, intelligent display systems 102 show target medical information to target user, pass through
The above method, target user only need the illness information input by disease that can obtain and the disease phase into intelligent display systems
Corresponding medical information, therefore it is able to ascend the intelligence when medical information obtains, while can also promote user and obtain doctor
Treat convenience when information.
Referring to Fig. 2, Fig. 2 provides a kind of process signal of the intelligent methods of exhibiting of medical information for the embodiment of the present application
Figure.As shown in Fig. 2, intelligent methods of exhibiting includes step 201-204, it is specific as follows:
201, the target conditions information of target user's input is received.
Optionally, receive target user input target conditions information before, target user can imported disease target
Illness information.Target user can input target conditions letter in the target conditions information of imported disease by way of text
Breath can also pass through figure by providing CT scan (Computed Tomography, CT) picture of disease
The mode of piece scanning inputs target conditions information, includes that picture type identifies in CT picture, picture identification is for identifying CT picture
Classification.Wherein, target user for example can be the people in sick state, be also possible to families of patients, naturally it is also possible to be
Other people for needing to obtain medical information according to the symptom of the state of an illness, are not especially limited herein.Targeted exposure symptoms, such as can be sense
Fever, dizziness after emitting etc. are also possible to stomach pain, any symptom such as shoulder pain.
202, feature extraction is carried out to the target conditions information according to preset feature extracting method, obtains characteristic
Collection, the characteristic data set includes at least one characteristic.
Optionally, in the case where target user inputs target conditions information by text mode, characteristic includes disease
Disease keyword, a kind of possible to the progress feature extraction of target conditions information, the method for obtaining characteristic data set includes step A1-
A3, specific as follows:
A1, the removal target conditions text information in stop words and punctuation mark, obtain referenced text information；
Wherein, stop words can include: " ", " ", " ", " I ", " ", " ", "and", " just ", " all ", " very ",
" you ", " she ", " he ", " it " etc..The modal particle in the text information of target conditions can also be removed, modal particle can be with are as follows:
" ", " ", " " etc..
A2, word segmentation processing is carried out to the referenced text information according to default participle processing method, obtained multiple with reference to pass
Keyword；
Optionally, a kind of possible method of word segmentation processing is carried out to referenced text information are as follows: use long phrase word cutting method
Carry out word segmentation processing, long phrase word cutting method are as follows: long phrase is preferentially cut, such as: in text information while including dizziness and very
Dizziness, then will be very dizzy as with reference to phrase；Tetraparesis and tetraparesis are powerless then by tetraparesis powerlessly as reference
Phrase.
Optionally, the alternatively possible method of word segmentation processing is carried out to referenced text information are as follows: use keyword search
Method, that is, Text region is carried out to referenced text information, will include that the word of illness keyword is used as with reference to keyword, such as
Illness keyword can be it is dizzy, burning, pain, head, spit, when carrying out Text region, the most major term including illness keyword is taken to make
It is very dizzy for reference to keyword, such as dizzy, then by very dizzy as referring to keyword.
A3, multiple target keywords are determined from the multiple reference keyword according to preset choosing method, obtained
Characteristic data set, the target keyword are the reference keyword for including illness keyword.
Optionally, keyword be illness keyword, such as by flu for, illness keyword for example can be it is dizzy, burn,
Pain, is spat head, then target keyword can be dizziness, fever, headache, pain, vomiting etc..
Optionally, illness information includes CT picture, another to carry out feature extraction to target conditions information, obtains characteristic
Method according to collection may include step B1-B4, specific as follows:
B1, the CT picture of the target conditions is subjected to region division according to the matrix of n*n, obtains multiple regions, wherein n
For positive integer；
Wherein, n is positive integer, after being divided according to the matrix of n*n, obtains n*n region, according to matrix form into
Row divide when, the area in the region obtained after division can be it is identical be also possible to it is different.A kind of possible division mode
Are as follows: after the first row to matrix divides, the mean value of the gray value in the first row in each region is identified, when the first row
The mean value of the gray value in first region or the last one region is greater than preset mean value, then remaining region is carried out non-equal faces
Product divides.Wherein presetting gray value is the gray value stored in system, can also can be set by user by system sets itself
It is fixed.
The gray value of the pixel in each region in B2, the multiple region of acquisition；
Optionally, the pixel in CT picture can be determined according to the resolution ratio of input, differentiate after picture input
After rate determines, then the number of the pixel of image can be obtained by the relationship between resolution ratio and pixel.
B3, according to the gray value of the pixel in each region in the multiple region, determine the multiple region
In each region gray value interval；
Optionally, in the gray value of the pixel in each region, there are the smallest gray values of maximum sum of the grayscale values, then
The gray value interval that minimum gray value and gray scale maximum value can be constituted is as the gray value interval in the region.It is, of course, also possible to
In the upper limit value and lower limit value of determination section, remove the maximum value and minimum value in gray value, second largest value and sub-minimum are made
For the upper limit value and lower limit value in section.Gray value interval is determined by the above method, can be reduced and be determined in section to a certain extent
When interference, promote accuracy of section when determining.
Optionally, each region has its area identity information (identification, ID), and region ID can be it
Corresponding coordinate in a matrix, coordinate for example can be (1,1) etc..
B4, the set for constituting the gray value interval in each region in the multiple region are as the characteristic
Collection.
Optionally, characteristic concentration further includes the picture identification of CT picture.
203, the characteristic data set is matched with the characteristic in medical data base, obtains the medical data
In library with target medical information corresponding to the matched characteristic of the characteristic data set.
Optionally, when characteristic data set is keyword set, one kind is possible to be matched in medical data base, is obtained
The method of target medical information includes step C1-C2, specific as follows:
C1, multiple target keywords that the characteristic is concentrated are matched in medical data base respectively, is obtained
Medical information corresponding with each keyword in the multiple target keyword；
Wherein, the mapping relations being stored in medical data base between keyword and disease, it is possible to understand that are as follows: illness and disease
Relationship between disease, disease are characterized as certain symptoms；The mapping being also stored in medical data base between disease and medical information
Relationship, it is possible to understand that are as follows: the relationship between drug identifier and disease can treat the drug identifier of disease；In medical data base
Mapping relations between being also stored with disease and checking, it is possible to understand that are as follows: the medical examination carried out required for disease, for example, knot
Stone then needs to carry out CT examination etc., and other mapping relations are also stored in certain medical data base, such as: disease and disease
Between relationship, it can be understood as a kind of generation of disease will lead to the generation of another disease.Drug identifier group and disease it
Between relationship, specifically can refer to the relationship between drug identifier and disease.Relationship between certain drug identifier and disease is also
It is to be understood that drug identifier can improve the disease or cure the disease, then between the drug identifier and disease
Relationship be improve, conversely, drug identifier to the disease have deterioration effect, then the relationship between the drug identifier and disease be
Deteriorate, there are also drug identifier any effect is not generated to the disease certainly, then the relationship not being included between drug identifier and disease.
Optionally, the mapping relations being also stored in medical data base between keyword and medical information, keyword and doctor
The mapping relations treated between information can be by the mapping relations between keyword and disease and reflecting between disease and medical information
The relationship of penetrating obtains, i.e., is intermediate quantity by disease, obtains the mapping relations between keyword and medical information.
C2, the corresponding medical information of each keyword is merged, obtains target medical information.
Optionally, medical information includes drug identifier information, and drug identifier information can be the title of drug identifier, be applicable in
Symptom etc..One kind is possible to merge the corresponding medical information of keyword, and the method for obtaining target medical information includes step
Rapid D1-D3, specific as follows:
D1, reference drug mark is extracted, the reference drug is identified as identical in the corresponding medical information of each keyword
Drug identifier；
Optionally, since each keyword is used to describe identical disease, but different keywords may correspond to difference
Medical information need to merge the different corresponding medical informations of keyword, take then when determining target medical information
Wherein identical part is as target medical information.
D2, the corresponding medical information of each keyword is combined, is obtained with reference to medical information；
Wherein, it is to be understood that all medical informations are sought union when being combined to medical information, obtains with reference to doctor
Treat information.
D3, the removal drug identifier with reference in medical information in addition to reference drug mark, obtain target doctor
Treat information.
By merging the corresponding medical information of multiple keywords, target medical information is obtained, it can be from multiple angles
Degree (multiple a keywords) determines target medical information, so as to when promoting determining target medical information to a certain extent
Accuracy.
Optionally, when target conditions information is CT picture, it is a kind of it is possible is matched in medical data base, obtain with
The method of the corresponding target medical information of the characteristic data set are as follows: according to the picture mark for the CT picture that characteristic is concentrated
Know, according to picture identification, finds out the standard feature data of standard CT picture in corresponding picture identification in medical data base
Collect, includes standard gray angle value section in standard feature data set, gray value interval comparison is then carried out according to region ID, that is, tool
There is identical region ID to carry out gray value comparison, when the gray value interval of the CT picture in some region be not belonging to it is corresponding
Standard gray angle value section, it is determined that go out medical information corresponding with the region, medical information corresponding with the region is made
For target medical information.By the above method, CT picture can be analyzed, obtain target medical information, i.e., schemed according to CT
Whether the specific region in piece is abnormal, and to determine target medical information, can be lifted to a certain extent and obtain target doctor
Treat intelligence when information.
It optionally, further include medical summary info model in medical data base, it, can be with when obtaining target medical information
By the way that characteristic data set is input to medical summary info model, target medical information is obtained.Wherein, summary info model is treated to adopt
It is obtained after being learnt with machine learning to sample data, wherein machine learning model is supervised learning model, has supervision to learn
Practising model for example can be weight model etc. in artificial neural network method, a kind of method for building up of medical summary info model are as follows:
Sample is subjected to feature extraction first, obtains feature set, is then inputted feature set in training pattern, training pattern is according to training
Algorithm in model is learnt, which for example can be gradient descent method, Newton's algorithm, conjugate gradient algorithms etc., finally
Medical summary info model is obtained, in this approach, by the study to a large amount of sample, finally obtains medical summary info mould
Type.By machine learning model, a large amount of sample is learnt, can accurately determine medical summary info mould
Type, to improve the accuracy when medical information obtains.
Optionally, sample can crawl initial corpus, corpus using tool is crawled from Baidupedia, wikipedia etc.
It include medical bodies in seed bank, medical bodies include drug, disease, symptom, check and the medical noun entity such as examine, perform the operation.
The tool of crawling can be web crawlers etc..
Optionally, another medical summary info model building method can include: by initial corpus, establish training
The universal text entities marking model of bilstm+crf；By rule+HMM model, training obtains medical summary info model.
Wherein, the universal text entities marking model of bilstm+crf is general Chinese word segmentation model.HMM model are as follows: hidden Ma Erke
Husband's model (Hidden Markov Model, HMM) is one kind of Markov chain, its state cannot observe directly, but energy
It is arrived by observation vector sequence inspection, each observation vector is to show as various states by certain probability density distributions, often
One observation vector is generated by a status switch with corresponding probability density distribution.So hidden Markov model is
The Hidden Markov Chain and display random function collection HMM that one dual random process has certain status number are in biological information section
The fields such as, fault diagnosis are applied.Rule includes the medical bodies relationship obtained by artificial experience, can also pass through and is
It unites after manager's redaction rule, rule is input in system.
Optionally, may also include in medical summary info model, the relationship between illness and hospital, between illness and hospital
Relationship it is to be understood that can treat the hospital of the illness, the priority for the hospital for treating the illness, position of hospital etc..
Wherein, the priority for treating the hospital of the illness includes the first priority, the second priority and third priority, the first priority
Corresponding hospital is the hospital that can cure the illness completely, but medical expense is higher, and the corresponding hospital of the second priority is
The hospital of the illness can be preferably treated, medical expense is general, and the corresponding hospital of third priority is that can cure this substantially
The hospital of illness, medical expense are lower.
204, Xiang Suoshu target user shows the target medical information.
Optionally, it can be sent to target user by way of medical information is passed through mail, then passes through mail
Mode shows target medical information to target user, can also open up on the electronic device of target user to medical information
Show, medical information can also be stored into database, target user is shown medical information when calling database.
Optionally, after showing the target medical information to target user, medical information methods of exhibiting may also include step
Rapid E1-E4, specific as follows:
E1, the user information for obtaining target user, the user information includes economic situation information and job information；
Optionally, economic situation information includes: wages etc., and job information includes: working hour etc..Wherein, economic situation
Information can be divided into the economic situation of the economic situation of the first estate, the economic situation of the second grade and the tertiary gradient, wherein first
The wages of economic situation of the economic situation of grade to the tertiary gradient successively reduce, i.e., the wages of the economic situation of the first estate are high
In the wages of the economic situation of the second grade, the wages of the economic situation of the second grade are higher than the firewood of the economic situation of the tertiary gradient
Money.
E2, according to preset economic conditions information and with reference to the mapping relations between hospital, determine and state economic situation
The reference hospital that the corresponding target user of information sees a doctor；
It wherein, is one of the first priority hospital, the second priority hospital and third priority hospital with reference to hospital,
Due to the different medical expense that different priority hospitals has, then can be determined according to economic situation with reference to hospital, one
Mapping relations between the possible economic situation of kind and hospital are that the first priority hospital is opposite with the economic situation of the first estate
It answers, the second priority hospital is corresponding with the economic situation of the second grade, the economic shape of third priority hospital and the tertiary gradient
Condition is corresponding.
E3, objective hospital is determined from the reference hospital according to the working hour in the job information；
Optionally, according to the working hour of target user, to determine that with the hospital that the working hour is adapted be mesh
Hospital is marked, for example, the working hour of target user is the week work, Saturday, Sunday no collection can will then refer to hospital
In, the reference hospital for the treatment of can be provided as objective hospital in Saturday and Sunday.
E4, the address information of the objective hospital is showed into the target user.
Optionally, the method that the address information of objective hospital shows target user can refer in step 204, by target
The method that medical information shows target user is shown, and details are not described herein again.
Referring to Fig. 3, the process for the intelligent methods of exhibiting that Fig. 3 provides another medical information for the embodiment of the present application is shown
It is intended to.As shown in figure 3, intelligent methods of exhibiting includes step 301-306, it is specific as follows:
301, the target conditions information of target user's input is received, the target conditions information includes the text of target conditions
Information；
302, the stop words and punctuation mark in the text information of the target conditions are removed, referenced text letter is obtained
Breath；
303, word segmentation processing is carried out to the referenced text information according to default participle processing method, obtained multiple with reference to pass
Keyword；
304, multiple target keywords are determined from the multiple reference keyword according to preset choosing method, obtained
Characteristic data set, the target keyword are the reference keyword for including illness keyword；
305, it with the characteristic data set, is matched, is obtained opposite with the characteristic data set in medical data base
The target medical information answered；
306, Xiang Suoshu target user shows the target medical information.
In this example, when target conditions information is text information, multiple target keywords, root are extracted from text information
It is matched in the database according to target keywords, obtains target medical data, pass through keyword match, it is possible to reduce characteristic
According to the acquisition time of collection, so as to promote the acquisition efficiency of target medical information to a certain extent, and then use can be promoted
Family experience.
Referring to Fig. 4, the process for the intelligent methods of exhibiting that Fig. 4 provides another medical information for the embodiment of the present application is shown
It is intended to.As shown in figure 4, intelligent methods of exhibiting includes step 401-407, it is specific as follows:
401, the target conditions information of target user's input is received, the target conditions information includes the CT figure of target conditions
Piece；
402, the CT picture of the target conditions is subjected to region division according to the matrix of n*n, obtains multiple regions, wherein
N is positive integer；
403, the gray value of the pixel in each region in the multiple region is obtained；
404, according to the gray value of the pixel in each region in the multiple region, the multiple region is determined
In each region gray value interval；
405, the set for constituting the gray value interval in each region in the multiple region is as the characteristic
Collection；
406, the characteristic data set is matched with the characteristic in medical data base, obtains the medical data
In library with target medical information corresponding to the matched characteristic of the characteristic data set；
407, Xiang Suoshu target user shows the target medical information.
In this example, when target conditions information is CT picture, CT picture is divided according to matrix, obtains multiple areas
Then domain determines the gray value interval in each region, target medical information is determined by gray value interval, passes through gray value
Section variation, can intuitively reflect disease information, to obtain target medical information corresponding with disease, improve mesh
Mark the convenience that medical information obtains.
Referring to Fig. 5, the process for the intelligent methods of exhibiting that Fig. 5 provides another medical information for the embodiment of the present application is shown
It is intended to.As shown in figure 5, intelligent methods of exhibiting includes step 501-508, it is specific as follows:
501, the target conditions information of target user's input is received；
502, feature extraction is carried out to the target conditions information according to preset feature extracting method, obtains characteristic
Collection, the characteristic data set includes at least one characteristic；
503, the characteristic data set is matched with the characteristic in medical data base, obtains the medical data
In library with target medical information corresponding to the matched characteristic of the characteristic data set；
504, Xiang Suoshu target user shows the target medical information；
505, the user information of target user is obtained, the user information includes economic situation information and job information；
506, according to preset economic conditions information and with reference to the mapping relations between hospital, determine and state economic situation
The reference hospital that the corresponding target user of information sees a doctor；
507, objective hospital is determined from the reference hospital according to the working hour in the job information；
508, the address information of the objective hospital is showed into the target user.
In this example, after showing target medical information to target user, also the user information of target user is carried out
Acquisition is determined to determine objective hospital with reference to hospital from reference hospital according to job information, think target according to economic situation
User show objective hospital address, can intelligence be the hospital that target user sees a doctor recommendation, can be in certain journey
The intelligence of intelligent methods of exhibiting is promoted on degree, and to promote user experience.
It is consistent with above-described embodiment, referring to Fig. 6, Fig. 6 is that a kind of structure of terminal provided by the embodiments of the present application is shown
It is intended to, as shown, including processor, input equipment, output equipment and memory, the processor, input equipment, output are set
Standby and memory is connected with each other, wherein for the memory for storing computer program, the computer program includes that program refers to
It enables, the processor is configured for calling described program instruction, and above procedure includes the instruction for executing following steps；
Receive the target conditions information of target user's input；
Feature extraction is carried out to the target conditions information according to preset feature extracting method, obtains characteristic data set,
The characteristic data set includes at least one characteristic；
The characteristic data set is matched with the characteristic in medical data base, is obtained in the medical data base
With target medical information corresponding to the matched characteristic of the characteristic data set；
The target medical information is shown to the target user.
Through this embodiment, the target conditions information for receiving target user's input, according to preset feature extracting method pair
The target conditions information carries out feature extraction, obtains characteristic data set, the characteristic data set includes at least one characteristic
According to, the characteristic data set is matched with the characteristic in medical data base, obtain in the medical data base with institute
Target medical information corresponding to the matched characteristic of characteristic data set is stated, Xiang Suoshu target user shows the target medical treatment
Information, therefore, user only need the target conditions information of imported disease, can obtain target doctor corresponding with target conditions information
Treat information, compared with the existing technology in, user rapidly cannot obtain medical information according to illness information, can be to a certain degree
The upper intelligence and convenience for promoting medical information and obtaining.
It is above-mentioned that mainly the scheme of the embodiment of the present application is described from the angle of method side implementation procedure.It is understood that
, in order to realize the above functions, it comprises execute the corresponding hardware configuration of each function and/or software module for terminal.This
Field technical staff should be readily appreciated that, in conjunction with each exemplary unit and algorithm of embodiment description presented herein
Step, the application can be realized with the combining form of hardware or hardware and computer software.Some function actually with hardware also
It is the mode of computer software driving hardware to execute, the specific application and design constraint depending on technical solution.Profession
Technical staff can specifically realize described function to each using distinct methods, but this realization should not be recognized
For beyond scope of the present application.
The embodiment of the present application can carry out the division of functional unit according to above method example to terminal, for example, can be right
The each functional unit of each function division is answered, two or more functions can also be integrated in a processing unit.
Above-mentioned integrated unit both can take the form of hardware realization, can also realize in the form of software functional units.It needs
Illustrate, is schematical, only a kind of logical function partition to the division of unit in the embodiment of the present application, it is practical to realize
When there may be another division manner.
Consistent with the above, referring to Fig. 7, Fig. 7 shows for the intelligence that the embodiment of the present application provides a kind of medical information
The structural schematic diagram of device.Described device includes receiving unit 701, extraction unit 702, matching unit 703 and display unit
704, wherein
Receiving unit 701, for receiving the target conditions information of target user's input；
Extraction unit 702, for carrying out feature extraction to the target conditions information according to preset feature extracting method,
Characteristic data set is obtained, the characteristic data set includes at least one characteristic；
Matching unit 703 is obtained for matching the characteristic data set with the characteristic in medical data base
In the medical data base with target medical information corresponding to the matched characteristic of the characteristic data set；
Display unit 704, for showing the target medical information to the target user.
By the embodiment of the present application, the target conditions information of target user's input is received, according to preset feature extraction side
Method carries out feature extraction to the target conditions information, obtains characteristic data set, and the characteristic data set includes at least one spy
Data are levied, the characteristic data set is matched with the characteristic in medical data base, is obtained in the medical data base
With target medical information corresponding to the matched characteristic of the characteristic data set, Xiang Suoshu target user shows the target
Medical information, therefore, user only need the target conditions information of imported disease, can obtain mesh corresponding with target conditions information
Mark medical information, compared with the existing technology in, user rapidly cannot obtain medical information according to illness information, can be certain
Intelligence and convenience that medical information obtains are promoted in degree.
Optionally, the target conditions information includes the text information of target conditions, is believed described the target conditions
Breath carries out feature extraction, and in terms of obtaining characteristic data set, the extraction unit 702 is specifically used for:
The stop words and punctuation mark in the text information of the target conditions are removed, referenced text information is obtained；
Word segmentation processing is carried out to the referenced text information according to default participle processing method, is obtained multiple with reference to crucial
Word；
Feature is obtained with reference to multiple target keywords are determined in keyword from the multiple according to preset choosing method
Data set, the target keyword are the reference keyword for including illness keyword.
Optionally, the target conditions information includes the CT picture of target conditions, described to the target conditions information
Carry out feature extraction, in terms of obtaining characteristic data set, the extraction unit 702 also particularly useful for:
The CT picture of the target conditions is subjected to region division according to the matrix of n*n, obtains multiple regions, wherein n is
Positive integer；
Obtain the gray value of the pixel in each region in the multiple region；
According to the gray value of the pixel in each region in the multiple region, determine in the multiple region
The gray value interval in each region；
The set that the gray value interval in each region in the multiple region is constituted is as the characteristic data set.
Optionally, the characteristic data set is matched described with the characteristic in medical data base, obtains institute
In terms of stating in medical data base with target medical information corresponding to the matched characteristic of the characteristic data set, the matching
Unit 703 is specifically used for:
Multiple target keywords that the characteristic is concentrated are matched in medical data base respectively, are obtained and institute
State the corresponding medical information of each keyword in multiple target keywords；
The corresponding medical information of each keyword is merged, target medical information is obtained.
Optionally, the medical information includes drug identifier, described to the corresponding medical information of each keyword
Merged, in terms of obtaining target medical information, the matching unit 703 also particularly useful for:
Reference drug mark is extracted, the reference drug is identified as identical medicine in the corresponding medical information of each keyword
Object mark；
The corresponding medical information of each keyword is combined, is obtained with reference to medical information；
The drug identifier with reference in medical information in addition to reference drug mark is removed, target medical treatment letter is obtained
Breath.
Optionally, the medical information intelligence show device also particularly useful for: characteristic data set is inputted into the medical treatment
Summary info model obtains target medical information.
Optionally, the medical information intelligence show device also particularly useful for:
The user information of target user is obtained, the user information includes economic situation information and job information；
According to preset economic conditions information and with reference to the mapping relations between hospital, economic situation information is determined and stated
The reference hospital that the corresponding target user sees a doctor；
Objective hospital is determined from the reference hospital according to the working hour in the job information；
The address information of the objective hospital is showed into the target user.
The embodiment of the present application also provides a kind of computer storage medium, wherein computer storage medium storage is for electricity
The computer program of subdata exchange, it is as any in recorded in above method embodiment which execute computer
A kind of some or all of the intelligent methods of exhibiting of medical information step.
The embodiment of the present application also provides a kind of computer program product, and the computer program product includes storing calculating
The non-transient computer readable storage medium of machine program, the computer program make computer execute such as above method embodiment
Some or all of the intelligent methods of exhibiting of any medical information of middle record step.
It should be noted that for the various method embodiments described above, for simple description, therefore, it is stated as a series of
Combination of actions, but those skilled in the art should understand that, the application is not limited by the described action sequence because
According to the application, some steps may be performed in other sequences or simultaneously.Secondly, those skilled in the art should also know
It knows, the embodiments described in the specification are all preferred embodiments, related actions and modules not necessarily the application
It is necessary.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, there is no the portion being described in detail in some embodiment
Point, reference can be made to the related descriptions of other embodiments.
In several embodiments provided herein, it should be understood that disclosed device, it can be by another way
It realizes.For example, the apparatus embodiments described above are merely exemplary, such as the division of the unit, it is only a kind of
Logical function partition, there may be another division manner in actual implementation, such as multiple units or components can combine or can
To be integrated into another system, or some features can be ignored or not executed.Another point, shown or discussed is mutual
Coupling, direct-coupling or communication connection can be through some interfaces, the indirect coupling or communication connection of device or unit,
It can be electrical or other forms.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
It, can also be in addition, applying for that each functional unit in bright each embodiment can integrate in one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also be realized in the form of software program module.
If the integrated unit is realized in the form of software program module and sells or use as independent product
When, it can store in a computer-readable access to memory.Based on this understanding, the technical solution of the application substantially or
Person says that all or part of the part that contributes to existing technology or the technical solution can body in the form of software products
Reveal and, which is stored in a memory, including some instructions are used so that a computer equipment
(can be personal computer, server or network equipment etc.) executes all or part of each embodiment the method for the application
Step.And memory above-mentioned includes: USB flash disk, read-only memory (read-only memory, ROM), random access memory
The various media that can store program code such as (random access memory, RAM), mobile hard disk, magnetic or disk.
Those of ordinary skill in the art will appreciate that all or part of the steps in the various methods of above-described embodiment is can
It is completed with instructing relevant hardware by program, which can store in a computer-readable memory, memory
It may include: flash disk, read-only memory, random access device, disk or CD etc..
The embodiment of the present application is described in detail above, specific case used herein to the principle of the application and
Embodiment is expounded, the description of the example is only used to help understand the method for the present application and its core ideas；
At the same time, for those skilled in the art can in specific embodiments and applications according to the thought of the application
There is change place, in conclusion the contents of this specification should not be construed as limiting the present application.
Claims (10)
1. a kind of intelligent methods of exhibiting of medical information, which is characterized in that the described method includes:
Receive the target conditions information of target user's input；
Feature extraction is carried out to the target conditions information according to preset feature extracting method, obtains characteristic data set, it is described
Characteristic data set includes at least one characteristic；
The characteristic data set is matched with the characteristic in medical data base, obtain in the medical data base with institute
State target medical information corresponding to the matched characteristic of characteristic data set；
The target medical information is shown to the target user.
2. the method according to claim 1, wherein the target conditions information includes the text envelope of target conditions
Breath, it is described that feature extraction is carried out to the target conditions information according to preset feature extracting method, characteristic data set is obtained, is wrapped
It includes:
The stop words and punctuation mark in the text information of the target conditions are removed, referenced text information is obtained；
Word segmentation processing is carried out to the referenced text information according to default participle processing method, is obtained multiple with reference to keyword；
According to preset choosing method from the multiple with reference to multiple target keywords are determined in keyword, by the multiple pass
Each keyword in keyword obtains characteristic data set as a characteristic, the target keyword be include that illness is closed
The reference keyword of key word.
3. according to the method described in claim 2, it is characterized in that, described will be in the characteristic data set and medical data base
Characteristic is matched, obtain in the medical data base with mesh corresponding to the matched characteristic of the characteristic data set
Mark medical information, comprising:
Multiple target keywords that the characteristic is concentrated are matched in medical data base respectively, obtain with it is described more
The corresponding medical information of each keyword in a target keyword；
The corresponding medical information of each keyword is merged, target medical information is obtained.
4. described to described each according to the method described in claim 3, it is characterized in that, medical information includes drug identifier
The corresponding medical information of keyword is merged, and target medical information is obtained, comprising:
Reference drug mark is extracted, the reference drug is identified as identical drug mark in the corresponding medical information of each keyword
Know；
The corresponding medical information of each keyword is combined, is obtained with reference to medical information；
The drug identifier with reference in medical information in addition to reference drug mark is removed, target medical information is obtained.
5. the method according to claim 1, wherein the target conditions information includes the CT figure of target conditions
Piece, it is described that feature extraction is carried out to the target conditions information according to preset feature extracting method, characteristic data set is obtained, is wrapped
It includes:
The CT picture of the target conditions is subjected to region division according to the matrix of n*n, obtains multiple regions, wherein n is positive whole
Number；
Obtain the gray value of the pixel in each region in the multiple region；
According to the gray value of the pixel in each region in the multiple region, each of the multiple region is determined
The gray value interval in region；
The set that the gray value interval in each region in the multiple region is constituted is as the characteristic data set.
6. method according to any one of claims 1 to 5, which is characterized in that the method also includes:
Characteristic data set is inputted into the medical summary info model, obtains target medical information, the medical treatment summary info mould
Type is that medical data base is obtained by supervised learning model training.
7. method according to any one of claims 1 to 6, which is characterized in that the method also includes:
The user information of target user is obtained, the user information includes economic situation information and job information；
According to preset economic conditions information and with reference to the mapping relations between hospital, determine opposite with economic situation information is stated
The reference hospital that the target user answered sees a doctor；
Objective hospital is determined from the reference hospital according to the working hour in the job information；
The address information of the objective hospital is showed into the target user.
8. a kind of intelligence of medical information shows device, which is characterized in that described device includes:
Receiving unit, for receiving the target conditions information of target user's input；
Extraction unit obtains spy for carrying out feature extraction to the target conditions information according to preset feature extracting method
Data set is levied, the characteristic data set includes at least one characteristic；
Matching unit obtains the doctor for matching the characteristic data set with the characteristic in medical data base
Treat database in target medical information corresponding to the matched characteristic of the characteristic data set；
Display unit, for showing the target medical information to the target user.
9. a kind of terminal, which is characterized in that the processor, defeated including processor, input equipment, output equipment and memory
Enter equipment, output equipment and memory to be connected with each other, wherein the memory is for storing computer program, the computer
Program includes program instruction, and the processor is configured for calling described program instruction, is executed such as any one of claim 1-7
The method.
10. a kind of computer readable storage medium, which is characterized in that the computer storage medium is stored with computer program,
The computer program includes program instruction, and described program instruction makes the processor execute such as right when being executed by a processor
It is required that the described in any item methods of 1-7.
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Application publication date: 20190412 |