CN111199781B - Diagnosis and treatment data automatic marking method based on peritoneal dialysis - Google Patents
Diagnosis and treatment data automatic marking method based on peritoneal dialysis Download PDFInfo
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Abstract
The invention discloses an automatic marking method for diagnosis and treatment data based on peritoneal dialysis, which relates to the technical field of data analysis, and realizes whole-course recording and automatic marking of the weight and time point of peritoneal dialysis fluid of key nodes by respectively marking a balance point, a stable point, a fluid outlet starting point, a fluid outlet ending point, a fluid inlet starting point, a fluid inlet ending point, a tube sealing ending point and a fluid outlet stable point on a treatment key time point, thereby improving marking efficiency and user experience.
Description
Technical Field
The invention relates to the technical field of data processing, in particular to an automatic diagnosis and treatment data marking method based on peritoneal dialysis.
Background
End-stage kidney disease (uremia) is the final stage of chronic kidney disease development, asia is the high-rise region of end-stage kidney disease, and new uremia cases in China account for about ten thousandth of the total number of people each year. Due to the restrictions of various factors including difficulty in daily monitoring and follow-up in remote mountain areas, only less than 30% of end-stage renal patients in China receive standard renal replacement therapy, the number of patients receiving the renal replacement therapy is about 46 ten thousand, the number of patients receiving the renal replacement therapy is estimated to reach or even exceed 167 ten thousand by 2020, and the economic cost is about 1670 hundred million yuan per year, which is a huge therapeutic group. The kidney replacement treatment work of the group is done, the treatment effect and the life quality are improved, and the effort is made to return the group to the society to be the direction of the common effort of kidney disease medical practitioners.
Means for renal replacement therapy of end-stage renal disease include: three modes of peritoneal dialysis, hemodialysis and allogeneic kidney transplantation (hereinafter "kidney transplantation"), one of which must be selected by the end-stage renal patient. The main bottleneck of kidney transplantation is the acquisition of kidney source, which makes the development of kidney transplantation "on demand" due to the difficulty of kidney source acquisition, and the disposable medical investment of kidney transplantation is too high to be accepted by common patients. Peritoneal dialysis and hemodialysis are two main modes of kidney replacement therapy, and a large amount of literature data indicate that: peritoneal dialysis and hemodialysis have no statistical differences in clinical effects, quality of life, survival, and single-cost analysis, and various research data show that peritoneal dialysis is generally lower in medical cost than hemodialysis. Compared with hemodialysis, the peritoneal dialysis can better protect residual kidney functions, has small influence on heart, blood and circulatory dynamic systems of human bodies, is not easy to cause various complications such as heart diseases and the like, can be used for home treatment, has flexible treatment scheme, and is favorable for winning the overall survival time of kidney replacement treatment for uremic patients by preferentially selecting peritoneal dialysis, so that the peritoneal dialysis is gradually accepted by doctors and is generally accepted by patients.
The main current treatment mode of peritoneal dialysis is home continuous ambulatory peritoneal dialysis (ContinuousAmbulatory Peritoneal Dialysis, CAPD), compared with hemodialysis, peritoneal dialysis can better provide the opportunity of patients to return to home and society, is more natural, is accepted by more and more uremic patients, advocates the treatment concept of 'peritoneal dialysis priority' in more developed countries and regions of the world, is difficult to develop in vast remote mountain areas and less developed economic areas due to the lack of effective medical professional technical support and hardware matching, and can just make up for the defects in the areas when the peritoneal dialysis is developed. In the face of the growing population of patients with end-stage kidney disease, the field and economic burden are continuously increased, and the peritoneal dialysis is preferentially developed and done, which is an important measure at present.
In recent years, reports of CAPD treatment data recorded by using a flat-panel scale begin to appear, and the solution can remotely record the weighing data of CAPD, but cannot record and automatically mark the time sequence correlation relationship of the weighing data in the whole process, and the middle process needs to be filled manually, so that the use experience of users is reduced.
Disclosure of Invention
In order to solve the defects in the prior art, the embodiment of the invention provides an automatic diagnosis and treatment data marking method based on peritoneal dialysis, which comprises the following steps:
receiving diagnosis and treatment data generated in an peritoneal dialysis process sent by a user, wherein the diagnosis and treatment data comprise a plurality of time points and peritoneal dialysis solution weights corresponding to the time points;
acquiring a node where the first peritoneal dialysis solution with non-zero weight is located in the diagnosis and treatment data as a hanging scale point and marking a time point corresponding to the hanging scale point and the weight of the peritoneal dialysis solution;
acquiring a node which accords with the quality control range of the peritoneal dialysis solution within a set time after the weighing point is hung, taking the node as a stable point K and marking a time point corresponding to the stable point K and the weight of the peritoneal dialysis solution;
acquiring a node of a first weight in the weight quality control range, taking the next node of the node as a liquid outlet starting point, and marking a time point corresponding to the liquid outlet starting point and the weight of the peritoneal dialysis solution;
traversing each node after the stable point K to obtain the stable point K and the weights of the peritoneal fluid corresponding to the continuous M nodes after the stable point K;
judging whether the stable point K and M continuous nodes behind the stable point K simultaneously meet lx [ M ] according to the weight of the peritoneal dialysis solution]The value of (2) is smaller than the set threshold value and xc m]Whether the value of m is smaller than zero, and the value range of m is
If so, determining the j+1th node as a liquid inlet starting point, wherein lx [ j ]]＝w[j+1]+w[j-1]-2×w[j]，xc[j]＝w[j+1]-w[j-1]，w[j+1]、w[j-1]W [ j ]]The weight of the abdominal cavity liquid corresponding to the nodes j+1, j-1 and j respectively, wherein j represents a first node meeting a set condition, j+M represents a last node meeting the set condition, and the value of the last node is more than or equal to K and less than or equal to M+1;
taking the previous node j of the liquid inlet starting point j+1 as a liquid outlet end point and marking the time point corresponding to the liquid outlet end point and the weight of the peritoneal dialysis solution;
traversing each node after the liquid inlet starting point j+1, and acquiring the liquid inlet starting point j+1 and the weights of the peritoneal fluid corresponding to the continuous N nodes after the liquid inlet starting point j+1;
judging whether continuous N nodes after the liquid inlet starting point j+1 and the liquid inlet starting point j+1 simultaneously meet lx [ N ] according to the weight of the peritoneal dialysis liquid]The value of (2) is smaller than the set first threshold value, xc [ n ]]A value less than zero and w [ N ]]The value of n is smaller than a set second threshold value, wherein the value range of n is
If so, determining the i-2 th node i-2 as a liquid inlet end point and identifying a time point corresponding to the liquid inlet end point and the weight of the peritoneal dialysis solution, wherein lx [ i ]]＝w[i+1]+w[i-1]-2×w[i]，xc[i]＝w[i+1]-w[i-1]，w[i+1]、w[i-1]W [ i ]]The weights of the abdominal fluids corresponding to the nodes i+1, i-1 and i are respectively, i represents a first node meeting the set condition, i+N represents a last node meeting the set condition, and the value of the last node is greater than or equal to K+1 and less than or equal to K+N+1.
Preferably, the method further comprises:
and traversing all the nodes after the liquid inlet end points, judging whether nodes with the weight of the peritoneal dialysis liquid being zero exist in all the nodes, if so, taking the previous point of the nodes as a tube sealing node, and if not, selecting a node with the weight of the first peritoneal dialysis liquid being less than or equal to a set threshold value from all the nodes as a tube sealing end node, and marking the time point corresponding to the tube sealing end node and the weight of the peritoneal dialysis liquid.
Preferably, the method further comprises:
and traversing each node after the tube sealing is finished, acquiring each node with the weight of the peritoneal dialysis solution stabilized in a set range in a set time period, calculating the average number of the weights of the peritoneal dialysis solution corresponding to each node, taking the average number as a waste liquid stabilization point, and marking the average number.
The automatic diagnosis and treatment data marking method based on peritoneal dialysis provided by the embodiment of the invention has the following beneficial effects:
the peritoneal dialysis solution weight and the time point of the key nodes can be recorded in the whole process and automatically identified, and the use experience and the identification efficiency of the user are improved.
Detailed Description
The present invention will be specifically described with reference to the following specific examples.
When the patient is in peritoneal dialysis, the peritoneal dialysis solution is weighed by using the electronic spring balance, and the weight and time point of the peritoneal dialysis solution are continuously recorded by the spring balance from the beginning of peritoneal dialysis to the end of peritoneal dialysis. After the peritoneal dialysis is finished, the spring balance transmits data to the app through the communication protocol interface, and the app uploads the time point in the peritoneal dialysis process and peritoneal dialysis solution weight data to a server background database. The background system processes the data and converts the data into [ time: weight ] list data for one-to-one correspondence.
The embodiment of the invention provides an automatic diagnosis and treatment data marking method based on peritoneal dialysis, which comprises the following steps:
s101, receiving diagnosis and treatment data generated in the peritoneal dialysis process sent by a user, wherein the diagnosis and treatment data comprise a plurality of time points and the weight of peritoneal dialysis solution corresponding to each time point.
S102, acquiring a node where the first peritoneal dialysis solution with non-zero weight is located in diagnosis and treatment data as a hanging scale point, and marking a time point corresponding to the hanging scale point and the weight of the peritoneal dialysis solution.
As a specific example, the weight theoretical before the patient hangs the abdominal cavity liquid on the electronic scale is 0kg, so the first weight after the start of the abdominal cavity is not the weight of 0 point.
And S103, acquiring a node which accords with the quality control range of the peritoneal dialysis solution within a set time after the weighing point is hung, taking the node as a stable point K, and marking a time point corresponding to the stable point K and the weight of the peritoneal dialysis solution.
As a specific example, the net weight of a certain type of peritoneal dialysis solution is 2.2kg, the error range is within 0.8kg, so that after the peritoneal dialysis solution is hung, the weight of the peritoneal dialysis solution in a static and stable state is between 2.12 and 2.28 kg, and the weight stability point after hanging a scale is between 2.2 < + > -0.08 kg. Weight quality control data of an peritoneal dialysis manufacturer (hereinafter, referred to as peritoneal dialysis product parameters of the manufacturer) need to be recorded in advance in the system for confirming the stable point and performing subsequent calculation operation. The system obtains a stable point by traversing the nodes which accord with the weight control range of the peritoneal dialysis solution in the duration after taking the hanging balance point.
S104, acquiring a node of the first weight in the weight quality control range, taking the next node of the node as a liquid outlet starting point, and identifying a time point corresponding to the liquid outlet starting point and the weight of the peritoneal dialysis solution.
As a specific example, a first point with a weight greater than 2.12 and less than 2.28 is found, and the next point after this point is the liquid outlet start time point.
S105, traversing each node after the stable point K, and obtaining the stable point K and the weights of the peritoneal fluid corresponding to the continuous M nodes after the stable point K.
S106, judging whether the stable point K and M continuous nodes behind the stable point K simultaneously meet the condition that the value of lx [ M ] is smaller than a set threshold value and whether the value of xc [ M ] is smaller than zero or not according to the weight of the peritoneal dialysis solution, if so, determining the j+1st node as a starting point of the infusion solution, wherein lx [ j ] = w [ j+1] +wj-1 ] -2 xwj ], xc [ j ] = w [ j+1] -w [ j-1], w [ j+1], w [ j-1] and w [ j ] are respectively the weight of the peritoneal dialysis solution corresponding to the nodes j+1, j-1 and j, j represents the first node meeting the set condition, j+M represents the last node meeting the set condition, and the value is larger than or equal to K and smaller than or equal to M+1.
As a specific example, the system background would acquire weight from each point after a stable point, calculate the weight for that point and for 10 consecutive points after that point.
Let the weight of the peritoneal fluid corresponding to the current point k be denoted as w [ k ], the weight of the latter point be denoted as w [ k+1], and so on.
If 10 consecutive nodes satisfy lx <0.001 and xc <0, that is lx [ k ] <0.001 and xc [ k ] <0, lx [ k+1] <0.001 and xc [ k+1] <0, lx [ k+2] <0.001 and xc [ k+2] <0 … lx [ k+10] <0.001 and xc [ k+10] <0, the rate of change of slope of 10 consecutive points is less than 0.001 and the weight is kept continuously reduced, the k+1 th point liquid is taken as the starting point.
S107, taking the previous node j of the liquid inlet starting point j+1 as a liquid outlet end point and marking the time point corresponding to the liquid outlet end point and the weight of the peritoneal dialysis solution.
S108, traversing each node after the liquid inlet starting point j+1, and obtaining the liquid inlet starting point j+1 and the weights of the abdominal cavity liquid corresponding to the continuous N nodes after the liquid inlet starting point j+1.
S109, judging whether continuous N nodes simultaneously meet the condition that the value of lx [ N ] is smaller than a set first threshold value, the value of xc [ N ] is smaller than zero and the value of w [ N ] is smaller than a set second threshold value according to the weight of the peritoneal dialysis fluid, if so, determining the i-2 th node i-2 as a fluid inlet end point and identifying the time point corresponding to the fluid inlet end point and the weight of the peritoneal dialysis fluid, wherein lx [ i ] = w [ i+1] +w [ i-1] -2 xw [ i ], xc [ i ] = w [ i+1] -w [ i-1], w [ i+1], w [ i-1] and w [ i ] are respectively the weight of the peritoneal dialysis fluid corresponding to the nodes i+1, i-1 and i, i represents the first node meeting the set condition, i+N represents the last node meeting the set condition, and the value of the peritoneal dialysis fluid is greater than or equal to K+1 and less than or equal to K+1.
As a specific embodiment, the time point when the liquid is ended is calculated according to the trend of continuous weight variation of the liquid and the historical statistical rule of the data of the ending point.
The end point of the liquid inlet needs to be at least more than 5 minutes after the start point of the liquid inlet and the weight of the end point is less than 0.3kg. The weight of each point is obtained by traversing from the point behind the liquid inlet starting point, the slope change speed of 10 continuous points is found to be less than 0.001 in the point less than 0.3kg, the weight is kept continuously reduced or the weight is 0, and then the two positions before the first point are taken as end points. Let the weight currently taken up of node M be denoted w [ M ], the weight of the latter point be denoted w [ M+1], and so on. When lx <0.001 and xc <0 and w <0.3 of 10 consecutive nodes, i.e., lx [ M ] is <0.001 and xc [ M ] is <0, w [ M ] is <0.3, lx [ M+1] is <0.001 and xc [ M+1] is <0, w [ M+1] is <0.3, lx [ M+2] is <0.001 and xc [ M+2] is <0, w [ M+2] is <0.3 … lx [ M+10] is <0.001 and xc [ M+10] is < 0.wk+10 is <0.3, then node M-2 is the end point of the liquid.
Optionally, the method further comprises:
and traversing all the nodes after the liquid inlet end points, judging whether nodes with the weight of the peritoneal dialysis liquid being zero exist in all the nodes, if so, taking the previous point of the nodes as a tube sealing node, and if not, selecting a node with the weight of the first peritoneal dialysis liquid being less than or equal to a set threshold value from all the nodes as a tube sealing end node, and marking the time point corresponding to the tube sealing end node and the weight of the peritoneal dialysis liquid.
As a specific embodiment, the liquid inlet end point traverses backwards, if 0 point exists, the previous point of the point is a tube sealing node, and if no 0 point exists, the first point less than or equal to 0.1 is taken as the tube sealing node.
Optionally, the method further comprises:
and traversing each node after the tube sealing is finished, acquiring each node with the weight of the peritoneal dialysis solution stabilized in a set range in a set time period, calculating the average number of the weights of the peritoneal dialysis solution corresponding to each node, taking the node corresponding to the average number as a waste liquid stabilization point, and marking the weight of the peritoneal dialysis solution corresponding to the waste liquid stabilization point.
As a specific example, after the end point of the tube sealing, an average over a period of time exceeding 20 seconds and having an peritoneal dialysis solution weight of less than 4kg at 1.5 was calculated, the resulting average was taken as a waste liquid stabilization point and the average was identified.
As a specific example, the following table shows the results obtained by using the automatic labeling method for diagnosis and treatment data based on peritoneal dialysis provided by the embodiment of the present invention:
TABLE 1
As shown in table 1, data were collected once for 5 seconds, and data of a part of non-treatment key time points were omitted in table 1, and the treatment key time points were marked as scale points, stability points, liquid outlet starting points, liquid outlet ending points, liquid inlet starting points, liquid inlet ending points, tube sealing ending points, and liquid waste stability points as A, B, C, D, E, F, G and H, respectively.
According to the automatic marking method for diagnosis and treatment data based on peritoneal dialysis, provided by the embodiment of the invention, diagnosis data are analyzed, and the balance point, the stability point, the liquid outlet starting point, the liquid outlet ending point, the liquid inlet starting point, the liquid inlet ending point, the tube sealing ending point and the liquid waste stability point are respectively marked at the key treatment time points, so that the total recording and automatic marking of the weight and the time point of the peritoneal dialysis fluid of the key nodes are realized, and the marking efficiency and the user experience of a user are improved.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and for parts of one embodiment that are not described in detail, reference may be made to related descriptions of other embodiments.
It will be appreciated that the relevant features of the methods and apparatus described above may be referenced to one another.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the above-described systems, apparatuses and units may refer to corresponding procedures in the foregoing method embodiments, which are not repeated herein.
The algorithms and displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, the present invention is not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
Furthermore, the memory may include volatile memory, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM), in a computer readable medium, the memory including at least one memory chip.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (4)
1. An automatic diagnosis and treatment data marking method based on peritoneal dialysis is characterized by comprising the following steps of:
receiving diagnosis and treatment data generated in an peritoneal dialysis process sent by a user, wherein the diagnosis and treatment data comprise a plurality of time points and peritoneal dialysis solution weights corresponding to the time points;
acquiring a node where the first peritoneal dialysis solution with non-zero weight is located in the diagnosis and treatment data as a hanging scale point and marking a time point corresponding to the hanging scale point and the weight of the peritoneal dialysis solution;
acquiring a node which accords with the quality control range of the peritoneal dialysis solution within a set time after the weighing point is hung, taking the node as a stable point K and marking a time point corresponding to the stable point K and the weight of the peritoneal dialysis solution;
acquiring a node of a first weight in the weight quality control range, taking the next node of the node as a liquid outlet starting point, and marking a time point corresponding to the liquid outlet starting point and the weight of the peritoneal dialysis solution;
traversing each node after the stable point K to obtain the stable point K and the weights of the peritoneal fluid corresponding to the continuous M nodes after the stable point K;
judging whether the stable point K and M continuous nodes behind the stable point K simultaneously meet lx [ M ] according to the weight of the peritoneal dialysis solution]The value of (2) is smaller than the set threshold value and xc m]Whether the value of m is smaller than zero, and the value range of m is
If so, determining the j+1th node as a liquid inlet starting point, wherein lx [ j ]]＝w[j+1]+w[j-1]-2×w[j]，xc[j]＝w[j+1]-w[j-1]，w[j+1]、w[j-1]W [ j ]]The weight of the abdominal cavity liquid corresponding to the nodes j+1, j-1 and j respectively, wherein j represents a first node meeting a set condition, j+M represents a last node meeting the set condition, and the value of the last node is more than or equal to K and less than or equal to M+1;
taking the previous node j of the liquid inlet starting point j+1 as a liquid outlet end point and marking the time point corresponding to the liquid outlet end point and the weight of the peritoneal dialysis solution;
traversing each node after the liquid inlet starting point j+1, and acquiring the liquid inlet starting point j+1 and the weights of the peritoneal fluid corresponding to the continuous N nodes after the liquid inlet starting point j+1;
judging whether continuous N nodes after the liquid inlet starting point j+1 and the liquid inlet starting point j+1 simultaneously meet lx [ N ] according to the weight of the peritoneal dialysis liquid]The value of (2) is smaller than the set first threshold value, xc [ n ]]A value less than zero and w [ N ]]The value of n is smaller than a set second threshold value, wherein the value range of n is
If so, determining the i-2 th node i-2 as a liquid inlet end point and identifying a time point corresponding to the liquid inlet end point and the weight of the peritoneal dialysis solution, wherein lx [ i ]]＝w[i+1]+w[i-1]-2×w[i]，xc[i]＝w[i+1]-w[i-1]，w[i+1]、w[i-1]W [ i ]]Nodes i+1, i-1, respectivelyi represents the first node meeting the set condition, i+N represents the last node meeting the set condition, and the value of the first node is greater than or equal to K+1 and less than or equal to K+N+1.
2. The automated peritoneal dialysis-based diagnostic data labeling method of claim 1, further comprising:
and traversing all the nodes after the liquid inlet end points, judging whether nodes with the weight of the peritoneal dialysis liquid being zero exist in all the nodes, if so, taking the previous point of the nodes as a tube sealing node, and if not, selecting a node with the weight of the first peritoneal dialysis liquid being less than or equal to a set threshold value from all the nodes as a tube sealing end node, and marking the time point corresponding to the tube sealing end node and the weight of the peritoneal dialysis liquid.
3. The automated peritoneal dialysis-based diagnostic data labeling method of claim 2, further comprising:
and traversing each node after the tube sealing is finished, acquiring each node with the weight of the peritoneal dialysis solution stabilized in a set range in a set time period, calculating the average number of the weights of the peritoneal dialysis solution corresponding to each node, taking the average number as a waste liquid stabilization point, and marking the average number.
4. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps of any of claims 1-3 when the computer program is executed.
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| US9370324B2 (en) * | 2008-11-05 | 2016-06-21 | Fresenius Medical Care Holdings, Inc. | Hemodialysis patient data acquisition, management and analysis system |
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