Dialysis displacement liquid preparation guiding method and system for user

Abstract

The invention provides a dialysis displacement liquid preparation guiding method and system for a user, and the method comprises the steps: obtaining the dialyzer information of a dialyzer and the current blood gas detection result of the user, and recognizing the current blood state information and the current blood ion concentration value of the user; on the basis of the dialyzer information, filter permeation information of a dialyzer is recognized, and on the basis of the current blood state information, the displacement liquid ion dispersion speed corresponding to the user is recognized; based on the current blood ion concentration value of the user and preset dialysis replacement liquid information, the initial dialysis replacement liquid ion concentration demand quantity of the user is calculated, and based on the initial dialysis replacement liquid ion concentration demand quantity, the filter permeability information of the dialyzer and the replacement liquid ion dispersion speed corresponding to the user, the dialysis replacement liquid ion dispersion speed is predicted through a replacement liquid prediction model. Predicting an actual dialysis displacement liquid ion concentration demand range required by a user; and taking the actual dialysis replacement liquid ion concentration demand range as the replacement liquid ion concentration configuration guide information of the user. By adopting the scheme, the accuracy of the actually prepared dialysis replacement liquid can be improved.

Description

Technical Field

[0001] The present invention relates to the field of data detection and medical assistance technology, and in particular to a method and system for guiding the configuration of dialysis replacement fluid for a user. Background Art

[0002] Dialysis therapy is a treatment method that allows the components (solutes or water) in body fluids to be discharged from the body through a semipermeable membrane. It can generally be divided into hemodialysis and peritoneal dialysis. Among them, during hemodialysis, blood gas detection technology is often used to detect the user's blood components in real time, so that medical staff can adjust the dialysis replacement fluid configuration components during hemodialysis in a timely manner to ensure the therapeutic effect of hemodialysis. However, how to perform dialysis replacement fluid configuration analysis based on blood gas test results is the current research focus of the industry.

[0003] The traditional way to determine the configuration of dialysis replacement fluid is for medical staff to make manual judgments based on the blood gas test results obtained, thereby analyzing the ion concentration of the dialysis replacement fluid that needs to be configured. However, since manual analysis is affected by subjective factors, the accuracy of adjustment of the replacement fluid ion concentration by different operators varies. In actual application, the configuration accuracy of the actual dialysis replacement fluid is low due to the influence of the diffusion rate of the dialysis replacement fluid and the permeability of the filter. Summary of the invention

[0004] The main purpose of the present invention is to provide a method and system for guiding the configuration of dialysis replacement fluid for a user, aiming to solve the problem in the prior art that the accuracy of the configured dialysis replacement fluid is low due to the influence of subjective factors on manual analysis, and in actual application, the configuration is also affected by the diffusion velocity and the permeability of the filter, resulting in low configuration accuracy of the actually configured dialysis replacement fluid.

[0005] To achieve the above object, the present invention provides a method for guiding the configuration of dialysis replacement fluid for a user, the method comprising:

[0006] Acquire dialyzer information of the dialyzer and a current blood gas test result of the user, and identify current blood state information of the user and a current blood ion concentration value of the user based on the current blood gas test result of the user;

[0007] Based on the dialyzer information, identifying the filter permeability information of the dialyzer, and based on the current blood state information, identifying the substitution fluid ion diffusion velocity corresponding to the user;

[0008] Based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information, the initial dialysis replacement fluid ion concentration requirement of the user is calculated, and based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user, the actual dialysis replacement fluid ion concentration requirement range required by the user is predicted through a replacement fluid prediction model;

[0009] The actual required range of ion concentration of the dialysis replacement fluid is used as the replacement fluid configuration guidance information of the user.

[0010] Optionally, the identifying the current blood state information of the user and the current blood ion concentration value of the user based on the current blood gas test result of the user includes:

[0011] Based on the current blood gas test result of the user, identifying the blood test data of each blood test type of the user and the blood component data of the user;

[0012] Based on the blood test data of each of the blood test types, identifying the blood data value of each of the blood test types, and based on the blood data value of each of the blood test types, querying the sub-blood state corresponding to each of the blood test types in a database;

[0013] Using the sub-blood states corresponding to all blood test types as the current blood state information of the user;

[0014] Based on the blood component data of the user, the ion concentration value of the target ion is identified, and the ion concentration value of the target ion is used as the current blood ion concentration value of the user.

[0015] Optionally, the identifying filter permeability information of the dialyzer based on the dialyzer information includes:

[0016] Based on the dialyzer information, identifying dialyzer model information of the dialyzer and a current treatment process of the dialyzer, and based on the dialyzer model information, querying various performance parameters of the dialyzer in a dialyzer database;

[0017] Based on the performance parameters of the dialyzer, the permeability parameter of the dialyzer is calculated by a permeability parameter algorithm, and based on the permeability parameter, the filter permeability level of the dialyzer is identified by a filter permeability identification strategy;

[0018] Based on the current treatment process of the dialyzer, the filter permeability level is adjusted to obtain a target filter permeability level of the dialyzer, and the target filter permeability level is used as the filter permeability information of the dialyzer.

[0019] Optionally, the identifying the replacement fluid ion diffusion velocity corresponding to the user based on the current blood state information includes:

[0020] Acquire the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data of each blood test type, and train an initial replacement fluid diffusion recognition network based on the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each of the sample blood test data to obtain a replacement fluid diffusion recognition network;

[0021] Based on the current blood state information, the current blood test data of each blood test type of the user is identified, and the current blood test data of each blood test type is input into the replacement fluid diffusion identification network to identify the replacement fluid ion diffusion velocity corresponding to the user.

[0022] Optionally, the calculating the initial ion concentration requirement of the dialysis replacement fluid of the user based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information includes:

[0023] Based on the preset dialysis replacement fluid information, identifying the unit concentration value of the target ion of the preset dialysis replacement fluid, and collecting the normal blood ion concentration value of the user in a normal state;

[0024] Based on the conventional blood particle concentration value and the current blood ion concentration value, the user's ion concentration deviation value is calculated, and based on the ion concentration deviation value and the unit concentration value of the target ion of the dialysis replacement fluid, the user's initial dialysis replacement fluid ion concentration requirement is calculated through a dialysis fluid replacement algorithm.

[0025] Optionally, the actual dialysis replacement fluid ion concentration requirement range required by the user is predicted by a replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user, including:

[0026] Based on the filter permeability level of the dialyzer, query the permeability parameter corresponding to the filter permeability level in the database, and based on the replacement fluid ion diffusion velocity corresponding to the user, convert the replacement fluid ion diffusion velocity into a replacement fluid influencing parameter of the replacement fluid prediction model through a parameter conversion program;

[0027] Based on the permeability parameter and the replacement fluid influencing parameter, the model prediction parameters of the replacement fluid prediction model are adjusted to obtain the target replacement fluid prediction model corresponding to the dialyzer, and the initial dialysis replacement fluid ion concentration requirement is input into the target replacement fluid prediction model to obtain the actual dialysis replacement fluid ion concentration requirement range required by the user.

[0028] In addition, to achieve the above-mentioned purpose, the present invention also provides a user's dialysis replacement fluid configuration guidance system, the user's dialysis replacement fluid configuration guidance system comprising:

[0029] an acquisition module, used to acquire dialyzer information of the dialyzer and a current blood gas test result of the user, and identify the current blood state information of the user and the current blood ion concentration value of the user based on the current blood gas test result of the user;

[0030] an identification module, configured to identify filter permeability information of the dialyzer based on the dialyzer information, and to identify a diffusion velocity of replacement fluid ions corresponding to the user based on the current blood state information;

[0031] A prediction module, for calculating the initial dialysis replacement fluid ion concentration requirement of the user based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information, and predicting the actual dialysis replacement fluid ion concentration requirement range required by the user through a replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user;

[0032] The determination module is used to use the actual dialysis replacement fluid ion concentration requirement range as the replacement fluid configuration guidance information of the user.

[0033] Optionally, the acquisition module is specifically used to:

[0034] Based on the current blood gas test result of the user, identifying the blood test data of each blood test type of the user and the blood component data of the user;

[0035] Based on the blood test data of each of the blood test types, identifying the blood data value of each of the blood test types, and based on the blood data value of each of the blood test types, querying the sub-blood state corresponding to each of the blood test types in a database;

[0036] Using the sub-blood states corresponding to all blood test types as the current blood state information of the user;

[0037] Based on the blood component data of the user, the ion concentration value of the target ion is identified, and the ion concentration value of the target ion is used as the current blood ion concentration value of the user.

[0038] Optionally, the identification module is specifically used to:

[0039] Based on the dialyzer information, identifying dialyzer model information of the dialyzer and a current treatment process of the dialyzer, and based on the dialyzer model information, querying various performance parameters of the dialyzer in a dialyzer database;

[0040] Based on the performance parameters of the dialyzer, the permeability parameter of the dialyzer is calculated by a permeability parameter algorithm, and based on the permeability parameter, the filter permeability level of the dialyzer is identified by a filter permeability identification strategy;

[0041] Based on the current treatment process of the dialyzer, the filter permeability level is adjusted to obtain a target filter permeability level of the dialyzer, and the target filter permeability level is used as the filter permeability information of the dialyzer.

[0042] Optionally, the identification module is specifically used to:

[0043] Acquire the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data of each blood test type, and train an initial replacement fluid diffusion recognition network based on the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each of the sample blood test data to obtain a replacement fluid diffusion recognition network;

[0044] Based on the current blood state information, the current blood test data of each blood test type of the user is identified, and the current blood test data of each blood test type is input into the replacement fluid diffusion identification network to identify the replacement fluid ion diffusion velocity corresponding to the user.

[0045] Optionally, the prediction module is specifically used to:

[0046] Based on the preset dialysis replacement fluid information, identifying the unit concentration value of the target ion of the preset dialysis replacement fluid, and collecting the normal blood ion concentration value of the user in a normal state;

[0047] Based on the conventional blood particle concentration value and the current blood ion concentration value, the user's ion concentration deviation value is calculated, and based on the ion concentration deviation value and the unit concentration value of the target ion of the dialysis replacement fluid, the user's initial dialysis replacement fluid ion concentration requirement is calculated through a dialysis fluid replacement algorithm.

[0048] Optionally, the prediction module is specifically used to:

[0049] Based on the filter permeability level of the dialyzer, query the permeability parameter corresponding to the filter permeability level in the database, and based on the replacement fluid ion diffusion velocity corresponding to the user, convert the replacement fluid ion diffusion velocity into a replacement fluid influencing parameter of the replacement fluid prediction model through a parameter conversion program;

[0050] Based on the permeability parameter and the replacement fluid influencing parameter, the model prediction parameters of the replacement fluid prediction model are adjusted to obtain the target replacement fluid prediction model corresponding to the dialyzer, and the initial dialysis replacement fluid ion concentration requirement is input into the target replacement fluid prediction model to obtain the actual dialysis replacement fluid ion concentration requirement range required by the user.

[0051] In a third aspect, the present application provides a computer device, wherein the computer device comprises a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0052] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, wherein when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0053] In a fifth aspect, the present application provides a computer program product. The computer program product includes a computer program, and when the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0054] The present invention provides a method and system for guiding the configuration of dialysis replacement fluid for a user, the method comprising: obtaining dialyzer information of a dialyzer and a current blood gas test result of a user, and identifying the current blood status information of the user and the current blood ion concentration value of the user based on the current blood gas test result of the user; identifying the filter permeability information of the dialyzer based on the dialyzer information, and identifying the replacement fluid ion diffusion velocity corresponding to the user based on the current blood status information; calculating the initial dialysis replacement fluid ion concentration requirement of the user based on the current blood ion concentration value of the user and preset dialysis replacement fluid information, and predicting the actual dialysis replacement fluid ion concentration requirement range required by the user through a replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user; and using the actual dialysis replacement fluid ion concentration requirement range as the replacement fluid configuration guidance information of the user. This solution obtains the filter permeability information of the dialyzer by performing filter permeability analysis on the dialyzer, and then identifies the user's current blood ion concentration value and the corresponding replacement fluid ion diffusion velocity of the user based on the user's current blood gas test results. From the three perspectives of filter permeability information, blood ion concentration value, and replacement fluid ion diffusion velocity, the actual dialysis replacement fluid ion concentration requirement range that the user needs to configure is identified, thereby avoiding the error and inefficiency of manual analysis and manual judgment of the dialysis replacement fluid ion concentration requirement, thereby improving the recognition accuracy and efficiency of the actual dialysis replacement fluid ion concentration requirement range required by the user. During the identification process, this solution uses a pre-trained replacement fluid prediction model to intelligently and efficiently identify the actual dialysis replacement fluid ion concentration requirement range that the user needs to configure, so that it can not only accurately predict the dialysis replacement fluid ion concentration requirement range configured for the user, but also provide dialysis replacement fluid configuration guidance for staff through the dialysis replacement fluid ion concentration requirement range, thereby ensuring that medical staff can adjust the dialysis replacement fluid volume within the range according to actual conditions, thereby improving the guidance accuracy of the configuration guidance information for medical staff and the fault tolerance of the configuration guidance information, so as to comprehensively improve the configuration accuracy of the actual configured dialysis replacement fluid. BRIEF DESCRIPTION OF THE DRAWINGS

[0055] In order to more clearly illustrate the scheme in the present application, a brief introduction is given below to the drawings required for use in the description of the embodiments of the present application. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0056] Figure 1is a flow chart of a method for guiding the configuration of dialysis replacement fluid for a user provided by an embodiment of the present invention;

[0057] Figure 2 is a structural schematic diagram of a dialysis substitution fluid configuration guidance system for a user provided by an embodiment of the present invention;

[0058] Figure 3 An internal structure diagram of a computer device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0059] The dialysis replacement fluid configuration guidance method for a user provided by an embodiment of the present invention is applied to the dialysis replacement fluid configuration guidance system for a user. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those generally understood by technicians in the technical field of the present application; the terms used in the specification of the application herein are only for the purpose of describing specific embodiments and are not intended to limit the present application; the terms "including" and "having" in the specification and claims of the present application and the above-mentioned figure descriptions and any variations thereof are intended to cover non-exclusive inclusions. The terms "first", "second", etc. in the specification and claims of the present application or the above-mentioned figures are used to distinguish different objects, not to describe a specific order.

[0060] Reference to "embodiments" herein means that a particular feature, structure, or characteristic described in conjunction with the embodiments may be included in at least one embodiment of the present application. The appearance of the phrase in various locations in the specification does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment that is mutually exclusive with other embodiments. It is explicitly and implicitly understood by those skilled in the art that the embodiments described herein may be combined with other embodiments.

[0061] In order to enable those skilled in the art to better understand the solution of the present application, the technical solution in the embodiments of the present application will be clearly and completely described below in conjunction with the accompanying drawings.

[0062] The user's dialysis replacement fluid configuration guidance method provided in the embodiment of the present application can be applied to the configuration guidance application environment of the dialysis replacement fluid. Among them, the method can be applied to a terminal, can also be applied to a server, can also be applied to a system including a terminal and a server, and is implemented through the interaction between the terminal and the server. Among them, the terminal can be, but is not limited to, various personal computers, laptops, etc. Among them, the terminal obtains the filter permeability information of the dialyzer by performing a filter permeability analysis on the dialyzer, and then based on the user's current blood gas test results, respectively identifies the user's current blood ion concentration value and the replacement fluid ion diffusion velocity corresponding to the user, so that from the three angles of filter permeability information, blood ion concentration value, and replacement fluid ion diffusion velocity, the actual dialysis replacement fluid ion concentration requirement range that the user needs to configure is identified, avoiding the error and inefficiency of manual analysis and manual judgment of the dialysis replacement fluid ion concentration requirement, thereby improving the recognition accuracy and recognition efficiency of the actual dialysis replacement fluid ion concentration requirement range required by the user. During the identification process, this solution uses a pre-trained replacement fluid prediction model to intelligently and efficiently identify the actual dialysis replacement fluid ion concentration requirement range that the user needs to configure, so that it can not only accurately predict the dialysis replacement fluid ion concentration requirement range configured for the user, but also provide dialysis replacement fluid configuration guidance for staff through the dialysis replacement fluid ion concentration requirement range, thereby ensuring that medical staff can adjust the dialysis replacement fluid volume within the range according to actual conditions, thereby improving the guidance accuracy of the configuration guidance information for medical staff and the fault tolerance of the configuration guidance information, so as to comprehensively improve the configuration accuracy of the actual configured dialysis replacement fluid.

[0063] In one embodiment, Figure 1 As shown, a method for guiding the configuration of dialysis replacement fluid for a user is provided, and the method is described by taking the application of the method to a terminal as an example, and the method includes the following steps:

[0064] Step S101, obtaining dialyzer information of the dialyzer and the current blood gas test result of the user, and based on the current blood gas test result of the user, identifying the current blood state information of the user and the current blood ion concentration value of the user.

[0065] In this embodiment, the terminal responds to the information uploading operation of the staff member and obtains the dialyzer information for the user's hemodialysis. The dialyzer information includes the model, type, brand, and operating status of the dialyzer. The dialyzer information is used to identify the relevant performance parameters of the dialyzer, so as to identify the filter permeability information corresponding to the dialyzer. The specific identification process will be described in detail later. Then, the terminal obtains the current blood gas test result of the user through the blood gas test data obtained by the blood gas detection device. The blood gas test result includes the blood test data of each blood test type and the blood component data of the user. The blood test types include but are not limited to hemodynamic change types, blood viscosity types, cardiac ejection ability types, etc. The blood component data is mainly the ion concentration values of various ions contained in the blood. The calcium ions include but are not limited to potassium ions, sodium ions, calcium ions, etc. that affect electrolyte balance. Finally, the terminal identifies the current blood state information of the user and the current blood ion concentration value based on the current blood gas test result of the user. The current blood state information includes the sub-test status corresponding to each blood test type. Each sub-test status represents the blood state of the blood test type. For example, the viscosity state of the blood viscosity type, the ejection ability state of the cardiac ejection ability type, and the hemodynamic change state of the hemodynamic change type. The blood state of each blood test type is used to analyze the ion diffusion rate of the replacement fluid corresponding to the user.

[0066] Step S102: Based on the dialyzer information, identify the filter permeability information of the dialyzer, and based on the current blood state information, identify the ion diffusion rate of the replacement fluid corresponding to the user.

[0067] In this embodiment, the terminal identifies the filter permeability information of the dialyzer based on the dialyzer information, and identifies the ion diffusion rate of the replacement fluid corresponding to the user based on the current blood state information. The filter permeability information is the filter permeability level of the dialyzer. The filter permeability level is characterized by the ultrafiltration volume. Each filter permeability level is as follows: high flux: kuf > 20 mm / (mmHg·h), generally used for HDF or HF; also used for HD. Medium flux: 10 < kuf < 20 mm / (mmHg·h), used for HD, and β2-MG can be cleared. Low flux: kuf < 10 mm / (mmHg·h), used for HD. The specific identification process will be described in detail later. The identification method of the ion diffusion rate of the replacement fluid is to identify through the sub-test status of each blood test type by using the trained replacement fluid diffusion identification network, which is a neural network based on reinforcement learning. The specific identification process will be described in detail later.

[0068] Step S103, based on the user's current blood ion concentration value and the preset dialysis replacement fluid information, calculate the user's initial dialysis replacement fluid ion concentration requirement, and based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the user's corresponding replacement fluid ion diffusion velocity, predict the actual dialysis replacement fluid ion concentration requirement range required by the user through the replacement fluid prediction model.

[0069] In this embodiment, the terminal calculates the user's initial dialysis replacement fluid ion concentration requirement based on the user's current blood ion concentration value and preset dialysis replacement fluid information. The specific calculation process will be described in detail later.

[0070] The terminal predicts the actual dialysis replacement fluid ion concentration required by the user through the replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user. Among them, the replacement fluid prediction model is a support vector machine (SVM) model based on the self-attention mechanism. The specific prediction process will be described in detail later.

[0071] Step S104: Using the actual required range of ion concentration of the dialysis replacement fluid as replacement fluid configuration guidance information for the user.

[0072] In this embodiment, the terminal uses the actual dialysis replacement fluid ion concentration requirement range as the user's replacement fluid configuration guidance information. Among them, the replacement fluid configuration guidance information will be sent to the client of the medical staff to guide the medical staff to configure the replacement fluid. Thereby improving the fault tolerance rate of the replacement fluid configuration and the accuracy of the replacement fluid configuration.

[0073] Based on the above scheme, the filter permeability information of the dialyzer is obtained by performing filter permeability analysis on the dialyzer, and then based on the user's current blood gas test results, the user's current blood ion concentration value and the replacement fluid ion diffusion velocity corresponding to the user are respectively identified, so that the actual dialysis replacement fluid ion concentration requirement range that the user needs to configure can be identified from three angles: filter permeability information, blood ion concentration value, and replacement fluid ion diffusion velocity, thereby avoiding the error and inefficiency of manual analysis and manual judgment of the dialysis replacement fluid ion concentration requirement, thereby improving the recognition accuracy and efficiency of the actual dialysis replacement fluid ion concentration requirement range required by the user. During the identification process, this solution uses a pre-trained replacement fluid prediction model to intelligently and efficiently identify the actual dialysis replacement fluid ion concentration requirement range that the user needs to configure, so that it can not only accurately predict the dialysis replacement fluid ion concentration requirement range configured for the user, but also provide dialysis replacement fluid configuration guidance for staff through the dialysis replacement fluid ion concentration requirement range, thereby ensuring that medical staff can adjust the dialysis replacement fluid volume within the range according to actual conditions, thereby improving the guidance accuracy of the configuration guidance information for medical staff and the fault tolerance of the configuration guidance information, so as to comprehensively improve the configuration accuracy of the actual configured dialysis replacement fluid.

[0074] Optionally, based on the user's current blood gas test results, the user's current blood status information and the user's current blood ion concentration value are identified, including: based on the user's current blood gas test results, the user's blood test data of each blood test type and the user's blood component data are identified; based on the blood test data of each blood test type, the blood data value of each blood test type is identified, and based on the blood data value of each blood test type, a sub-blood status corresponding to each blood test type is queried in a database; the sub-blood status corresponding to all blood test types is used as the user's current blood status information; based on the user's blood component data, the ion concentration value of the target ion is identified, and the ion concentration value of the target ion is used as the user's current blood ion concentration value.

[0075] In this embodiment, the terminal identifies the blood test data of each blood test type of the user and the blood component data of the user based on the current blood gas test result of the user. The current blood gas test result includes each test data value, and then the terminal classifies and summarizes the blood test type or blood component information represented by each test data value to obtain the blood test data of each blood test type and the blood component data of each blood component.

[0076] Then, the terminal identifies the blood data value of each blood test type based on the blood test data of each blood test type, and queries the sub-blood state corresponding to each blood test type in the database based on the blood data value of each blood test type. The database stores the blood data value range corresponding to each blood state of different blood test types, and the terminal identifies the sub-blood state corresponding to each blood test type by adapting the blood data value range to which the blood data value of each blood test type belongs.

[0077] Finally, the terminal uses the sub-blood states corresponding to all blood test types as the user's current blood state information.

[0078] The terminal identifies the ion concentration value of the target ion based on the blood component data of the user, and uses the ion concentration value of the target ion as the current blood ion concentration value of the user. The target ion may be a potassium ion.

[0079] Based on the above scheme, by classifying and summarizing the test data values, the self-learning status of each blood test type and the example concentration value of the target ion are identified, thereby improving the comprehensiveness and accuracy of the recognition of the user's blood gas test results.

[0080] Optionally, based on the dialyzer information, filter permeability information of the dialyzer is identified, including:

[0081] Based on the dialyzer information, the dialyzer model information and the current treatment process of the dialyzer are identified, and based on the dialyzer model information, the various performance parameters of the dialyzer are queried in the dialyzer database; based on the various performance parameters of the dialyzer, the permeability parameters of the dialyzer are calculated through a permeability parameter algorithm, and based on the permeability parameters, the filter permeability level of the dialyzer is identified through a filter permeability identification strategy; based on the current treatment process of the dialyzer, the filter permeability level is adjusted to obtain a target filter permeability level of the dialyzer, and the target filter permeability level is used as the filter permeability information of the dialyzer.

[0082] In this embodiment, the terminal identifies the dialyzer model information of the dialyzer and the current treatment process of the dialyzer based on the dialyzer information, and queries the various performance parameters of the dialyzer in the dialyzer database based on the dialyzer model information. Among them, the model information of the dialyzer includes information such as the model, type, brand, and operating status of the dialyzer. In the dialyzer database, dialyzers of different models, types, and brands are stored, and the various performance parameters in different operating states. The terminal identifies the various performance parameters of the dialyzer by querying the dialyzer database. Among them, the performance parameters include but are not limited to performance parameters such as transmembrane pressure and ultrafiltration coefficient.

[0083] Finally, the terminal calculates the permeability parameter of the dialyzer based on the performance parameters of the dialyzer through the permeability parameter algorithm. The permeability parameter is the ultrafiltration volume of the dialyzer, and the calculation formula of the ultrafiltration volume is:

[0084] UF=kuf*TMP*h

[0085] In the above formula, UF is the ultrafiltration volume; TMP is the transmembrane pressure (mmHg); kuf is the ultrafiltration coefficient (ml / mmHg); and h is the ultrafiltration time.

[0086] The terminal identifies the filter permeability level of the dialyzer based on the permeability parameter and the filter permeability identification strategy. The filter permeability identification strategy includes filter permeability levels corresponding to different ultrafiltration volume ranges, and the terminal determines the filter permeability level of the dialyzer by adapting the ultrafiltration volume range to which the ultrafiltration volume of the dialyzer belongs.

[0087] Finally, the terminal adjusts the filter permeability level based on the current treatment process of the dialyzer, obtains the target filter permeability level of the dialyzer, and uses the target filter permeability level as the filter permeability information of the dialyzer. Since the permeability of the filter will change with the progress of CRRT treatment, because thrombus will block the filter membrane, the advancement of the treatment process will reduce the target filter permeability level. The terminal presets the corresponding ratio between the degree of reduction of the permeability level and the degree of advancement of the treatment process. Then, the terminal obtains the target filter permeability level of the dialyzer based on the corresponding ratio multiplied by the degree of advancement of the current treatment process.

[0088] Based on the above scheme, by combining the various performance parameters of the dialyzer, the filter permeability information of each dialyzer is comprehensively calculated, thereby improving the comprehensiveness and accuracy of the identification of the filter permeability information of the dialyzer.

[0089] Optionally, based on the current blood status information, identifying the replacement fluid ion diffusion velocity corresponding to the user, including: obtaining blood test data of each sample of each blood test type, and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data of each blood test type, and training an initial replacement fluid diffusion recognition network based on the blood test data of each sample of each blood test type, and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data, to obtain a replacement fluid diffusion recognition network; based on the current blood status information, identifying the current blood test data of each blood test type of the user, and inputting the current blood test data of each blood test type into the replacement fluid diffusion recognition network to identify the replacement fluid ion diffusion velocity corresponding to the user.

[0090] In this embodiment, the terminal obtains the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data of each blood test type, and trains the initial replacement fluid diffusion recognition network based on the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data to obtain the replacement fluid diffusion recognition network. Among them, each sample replacement fluid ion diffusion velocity corresponds to the sample blood test data range of each blood test type, and the terminal trains the initial replacement fluid diffusion recognition network through the above correspondence, so that the initial replacement fluid diffusion recognition network can directly identify the user's replacement fluid ion diffusion velocity according to the blood test data of each blood test type of the user.

[0091] Finally, the terminal identifies the current blood test data of each blood test type of the user based on the current blood status information, and inputs the current blood test data of each blood test type into the replacement fluid diffusion recognition network to identify the replacement fluid ion diffusion velocity corresponding to the user.

[0092] Based on the above scheme, through the trained replacement fluid diffusion recognition network, the replacement fluid ion diffusion velocity corresponding to the blood test data of each blood test type of different users can be efficiently and accurately identified, thereby improving the recognition accuracy and efficiency of the replacement fluid ion diffusion velocity.

[0093] Optionally, based on the user's current blood ion concentration value and preset dialysis replacement fluid information, the user's initial dialysis replacement fluid ion concentration requirement is calculated, including: based on the preset dialysis replacement fluid information, identifying the unit concentration value of the preset target ion of the dialysis replacement fluid, and collecting the user's normal blood ion concentration value under normal conditions; based on the normal blood particle concentration value and the current blood ion concentration value, calculating the user's ion concentration deviation value, and based on the ion concentration deviation value and the unit concentration value of the target ion of the dialysis replacement fluid, calculating the user's initial dialysis replacement fluid ion concentration requirement through a dialysis fluid replacement algorithm.

[0094] In this embodiment, the terminal identifies the unit concentration value of the target ion of the preset dialysis replacement fluid based on the preset dialysis replacement fluid information. The unit concentration value of the target ion in the dialysis replacement fluid is the concentration value preset by the staff in the terminal. For example, 10 ml of 10% potassium chloride solution is added to 4L of finished replacement fluid (brand: Qingshan Likang), which can make the potassium ion concentration value in the replacement fluid reach 3.35 mmol / L, that is, the unit concentration value is the concentration value of the target ion in each milliliter of dialysis replacement fluid.

[0095] Then, the terminal collects the normal blood ion concentration value of the user in a normal state, wherein the normal state is the unit concentration value of the target ion contained in the blood of the user when hemodialysis is not performed.

[0096] Then, the terminal subtracts the current blood ion concentration value from the conventional blood particle concentration value to obtain the ion concentration deviation value of the user. Finally, the terminal inputs the dialysate replacement algorithm based on the ion concentration deviation value and the unit concentration value of the target ion of the dialysate replacement fluid, thereby calculating the user's initial dialysate replacement fluid ion concentration requirement. Among them, the dialysate replacement algorithm is:

[0097] The initial ion concentration requirement of the dialysis replacement fluid = ion concentration deviation value / target ion unit concentration value of the dialysis replacement fluid.

[0098] Based on the above scheme, after identifying the unit concentration value of the target ion of the dialysis replacement fluid, the concentration deviation calculation is performed to identify the initial dialysis replacement fluid ion concentration requirement required by the user, thereby improving the calculation efficiency of calculating the initial dialysis replacement fluid ion concentration requirement.

[0099] Optionally, based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion rate corresponding to the user, the replacement fluid prediction model is used to predict the actual dialysis replacement fluid ion concentration requirement range required by the user, including: based on the filter permeability level of the dialyzer, querying the permeability parameter corresponding to the filter permeability level in the database, and based on the replacement fluid ion diffusion rate corresponding to the user, converting the replacement fluid ion diffusion rate into the replacement fluid influencing parameter of the replacement fluid prediction model through a parameter conversion program; based on the permeability parameter and the replacement fluid influencing parameter, adjusting the model prediction parameters of the replacement fluid prediction model to obtain the target replacement fluid prediction model corresponding to the dialyzer, and inputting the initial dialysis replacement fluid ion concentration requirement into the target replacement fluid prediction model to obtain the actual dialysis replacement fluid ion concentration requirement range required by the user.

[0100] In this embodiment, the terminal queries the permeability parameter corresponding to the filter permeability level in the database based on the filter permeability level of the dialyzer. The database stores the correspondence between different filter permeability levels and permeability parameters, and the terminal identifies the permeability parameter corresponding to the filter permeability level of the dialyzer based on the correspondence.

[0101] Then, the terminal converts the replacement fluid ion diffusion velocity into the replacement fluid influencing parameter of the replacement fluid prediction model through a parameter conversion program based on the replacement fluid ion diffusion velocity corresponding to the user. The parameter conversion program is a script program for replacing the replacement fluid influencing parameter conversion preset by the staff in the terminal. Based on the script program, the terminal can directly generate the replacement fluid influencing parameter of the replacement fluid prediction model when obtaining the replacement fluid ion diffusion velocity corresponding to the user.

[0102] Then, the terminal replaces the initial permeability parameter and the initial replacement fluid influencing parameter of the replacement fluid prediction model based on the permeability parameter and the replacement fluid influencing parameter, thereby obtaining the target replacement fluid prediction model corresponding to the dialyzer. Finally, the terminal inputs the initial dialysis replacement fluid ion concentration requirement into the target replacement fluid prediction model to obtain the actual dialysis replacement fluid ion concentration requirement range required by the user.

[0103] Based on the above scheme, the replacement fluid prediction model is adjusted based on the analyzed replacement fluid ion diffusion velocity and filter permeability level, thereby improving the replacement fluid prediction model's prediction accuracy of the user's dialysis replacement fluid ion concentration requirement range when using the current dialyzer. Then the terminal inputs the initial dialysis replacement fluid ion concentration requirement into the adjusted replacement fluid prediction model, so that the actual dialysis replacement fluid ion concentration requirement range required by the user can be generated efficiently and accurately. Avoid the inefficiency of manual analysis and the problem of high error rate.

[0104] It should be understood that, although the various steps in the flowcharts involved in the above-mentioned embodiments are displayed in sequence according to the indication of the arrows, these steps are not necessarily executed in sequence according to the order indicated by the arrows. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be executed in other orders. Moreover, at least a part of the steps in the flowcharts involved in the above-mentioned embodiments can include multiple steps or multiple stages, and these steps or stages are not necessarily executed at the same time, but can be executed at different times, and the execution order of these steps or stages is not necessarily to be carried out in sequence, but can be executed in turn or alternately with other steps or at least a part of the steps or stages in other steps.

[0105] Based on the same inventive concept, the embodiment of the present application also provides a user's dialysis replacement fluid configuration guidance system for implementing the above-mentioned user's dialysis replacement fluid configuration guidance method. The implementation scheme for solving the problem provided by the system is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in the embodiment of the dialysis replacement fluid configuration guidance system for one or more users provided below can refer to the limitations of the user's dialysis replacement fluid configuration guidance method above, and will not be repeated here.

[0106] Further references Figure 2 , as a response to the above Figure 1 In order to realize the method shown in the figure, the present application provides an embodiment of a dialysis replacement fluid configuration guidance system 200 for a user, the dialysis replacement fluid configuration guidance system for the user, the system comprising an acquisition module 210, an identification module 220, a prediction module 230 and a generation module 240, wherein:

[0107] An acquisition module 210, configured to acquire dialyzer information of the dialyzer and a current blood gas test result of the user, and identify the current blood state information of the user and the current blood ion concentration value of the user based on the current blood gas test result of the user;

[0108] An identification module 220, configured to identify filter permeability information of the dialyzer based on the dialyzer information, and to identify a diffusion velocity of replacement fluid ions corresponding to the user based on the current blood state information;

[0109] The prediction module 230 is used to calculate the initial dialysis replacement fluid ion concentration requirement of the user based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information, and predict the actual dialysis replacement fluid ion concentration requirement range required by the user through the replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user;

[0110] The determination module 240 is used to use the actual required range of ion concentration of the dialysis replacement fluid as the replacement fluid configuration guidance information of the user.

[0111] Optionally, the acquisition module 210 is specifically used for:

[0112] Based on the current blood gas test result of the user, identifying the blood test data of each blood test type of the user and the blood component data of the user;

[0113] Based on the blood test data of each of the blood test types, identifying the blood data value of each of the blood test types, and based on the blood data value of each of the blood test types, querying the sub-blood state corresponding to each of the blood test types in a database;

[0114] Using the sub-blood states corresponding to all blood test types as the current blood state information of the user;

[0115] Based on the blood component data of the user, the ion concentration value of the target ion is identified, and the ion concentration value of the target ion is used as the current blood ion concentration value of the user.

[0116] Optionally, the identification module 220 is specifically configured to:

[0117] Based on the dialyzer information, identifying dialyzer model information of the dialyzer, and based on the dialyzer model information, querying various performance parameters of the dialyzer in a dialyzer database;

[0118] Based on the performance parameters of the dialyzer, the permeability parameter of the dialyzer is calculated by a permeability parameter algorithm, and based on the permeability parameter, the filter permeability level of the dialyzer is identified by a filter permeability identification strategy;

[0119] The filter permeability grade is used as the filter permeability information of the dialyzer.

[0120] Optionally, the identification module 220 is specifically configured to:

[0121] Acquire the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data of each blood test type, and train an initial replacement fluid diffusion recognition network based on the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each of the sample blood test data to obtain a replacement fluid diffusion recognition network;

[0122] Based on the current blood state information, the current blood test data of each blood test type of the user is identified, and the current blood test data of each blood test type is input into the replacement fluid diffusion identification network to identify the replacement fluid ion diffusion velocity corresponding to the user.

[0123] Optionally, the prediction module 230 is specifically configured to:

[0124] Based on the preset dialysis replacement fluid information, identifying the unit concentration value of the target ion of the preset dialysis replacement fluid, and collecting the normal blood ion concentration value of the user in a normal state;

[0125] Based on the conventional blood particle concentration value and the current blood ion concentration value, the user's ion concentration deviation value is calculated, and based on the ion concentration deviation value and the unit concentration value of the target ion of the dialysis replacement fluid, the user's initial dialysis replacement fluid ion concentration requirement is calculated through a dialysis fluid replacement algorithm.

[0126] Optionally, the prediction module 230 is specifically configured to:

[0127] Based on the filter permeability level of the dialyzer, query the permeability parameter corresponding to the filter permeability level in the database, and based on the replacement fluid ion diffusion velocity corresponding to the user, convert the replacement fluid ion diffusion velocity into a replacement fluid influencing parameter of the replacement fluid prediction model through a parameter conversion program;

[0128] Based on the permeability parameter and the replacement fluid influencing parameter, the model prediction parameters of the replacement fluid prediction model are adjusted to obtain the target replacement fluid prediction model corresponding to the dialyzer, and the initial dialysis replacement fluid ion concentration requirement is input into the target replacement fluid prediction model to obtain the actual dialysis replacement fluid ion concentration requirement range required by the user.

[0129] Each module in the above-mentioned user's dialysis replacement fluid configuration guidance system can be implemented in whole or in part by software, hardware, and a combination thereof. Each of the above-mentioned modules can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each of the above modules.

[0130] In one embodiment, a computer device is provided. The computer device may be a terminal, and its internal structure diagram may be as follows: Figure 3 As shown. The computer device includes a processor, a memory, a communication interface, a display screen and an input system connected by a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The communication interface of the computer device is used to communicate with an external terminal in a wired or wireless manner, and the wireless manner can be achieved through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. When the computer program is executed by the processor, a user's dialysis replacement fluid configuration guidance method is implemented. The display screen of the computer device can be a liquid crystal display screen or an electronic ink display screen, and the input system of the computer device can be a touch layer covered on the display screen, or a button, trackball or touchpad set on the computer device housing, or an external keyboard, touchpad or mouse, etc.

[0131] Those skilled in the art will understand that Figure 3 The structure shown in the figure is only a block diagram of a part of the structure related to the solution of the present application, and does not constitute a limitation on the computer device to which the solution of the present application is applied. The specific computer device may include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0132] In one embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of any one of the methods in the first aspect are implemented.

[0133] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps of any one of the methods in the first aspect are implemented.

[0134] In one embodiment, a computer program product is provided, comprising a computer program, which, when executed by a processor, implements the steps of any one of the methods in the first aspect.

[0135] It should be noted that the user information (including but not limited to user device information, user personal information, etc.) and data (including but not limited to data used for analysis, stored data, displayed data, etc.) involved in this application are all information and data authorized by the user or fully authorized by all parties.

[0136] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to the memory, database or other medium used in the embodiments provided in the present application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical memory, high-density embedded non-volatile memory, resistive random access memory (ReRAM), magnetoresistive random access memory (MRAM), ferroelectric random access memory (FRAM), phase change memory (PCM), graphene memory, etc. Volatile memory can include random access memory (RAM) or external cache memory, etc. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM). The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. Non-relational databases may include distributed databases based on blockchains, etc., but are not limited to this. The processor involved in each embodiment provided in this application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic device, a data processing logic device based on quantum computing, etc., but are not limited to this.

[0137] The technical features of the above embodiments may be combined arbitrarily. To make the description concise, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0138] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be understood as limiting the scope of the present application. It should be pointed out that, for a person of ordinary skill in the art, several variations and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for guiding the configuration of ion concentration of dialysis substitution fluid for a user, characterized in that: The method comprises: Acquire dialyzer information of the dialyzer and a current blood gas test result of the user, and identify current blood state information of the user and a current blood ion concentration value of the user based on the current blood gas test result of the user; Based on the dialyzer information, identifying the filter permeability information of the dialyzer, and based on the current blood state information, identifying the substitution fluid ion diffusion velocity corresponding to the user; Based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information, the initial dialysis replacement fluid ion concentration requirement of the user is calculated, and based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user, the actual dialysis replacement fluid ion concentration requirement range required by the user is predicted through a replacement fluid prediction model; The actual required range of ion concentration of the dialysis replacement fluid is used as the replacement fluid configuration guidance information of the user.

2. The method according to claim 1, characterized in that: The identifying the current blood state information of the user and the current blood ion concentration value of the user based on the current blood gas test result of the user includes: Based on the current blood gas test result of the user, identifying the blood test data of each blood test type of the user and the blood component data of the user; Based on the blood test data of each of the blood test types, identifying the blood data value of each of the blood test types, and based on the blood data value of each of the blood test types, querying the sub-blood state corresponding to each of the blood test types in a database; Using the sub-blood states corresponding to all blood test types as the current blood state information of the user; Based on the blood component data of the user, the ion concentration value of the target ion is identified, and the ion concentration value of the target ion is used as the current blood ion concentration value of the user.

3. The method according to claim 1, characterized in that The step of identifying the filter permeability information of the dialyzer based on the dialyzer information includes: Based on the dialyzer information, identifying dialyzer model information of the dialyzer and a current treatment process of the dialyzer, and based on the dialyzer model information, querying various performance parameters of the dialyzer in a dialyzer database; Based on the performance parameters of the dialyzer, the permeability parameter of the dialyzer is calculated by a permeability parameter algorithm, and based on the permeability parameter, the filter permeability level of the dialyzer is identified by a filter permeability identification strategy; Based on the current treatment process of the dialyzer, the filter permeability level is adjusted to obtain a target filter permeability level of the dialyzer, and the target filter permeability level is used as the filter permeability information of the dialyzer.

4. The method according to claim 1, characterized in that: The identifying the replacement fluid ion diffusion velocity corresponding to the user based on the current blood state information includes: Acquire the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each sample blood test data of each blood test type, and train an initial replacement fluid diffusion recognition network based on the blood test data of each sample of each blood test type and the sample replacement fluid ion diffusion velocity corresponding to each of the sample blood test data to obtain a replacement fluid diffusion recognition network; Based on the current blood state information, the current blood test data of each blood test type of the user is identified, and the current blood test data of each blood test type is input into the replacement fluid diffusion identification network to identify the replacement fluid ion diffusion velocity corresponding to the user.

5. The method according to claim 1, characterized in that: The calculating the initial ion concentration requirement of the dialysis replacement fluid of the user based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information includes: Based on the preset dialysis replacement fluid information, identifying the unit concentration value of the target ion of the preset dialysis replacement fluid, and collecting the normal blood ion concentration value of the user in a normal state; Based on the conventional blood particle concentration value and the current blood ion concentration value, the user's ion concentration deviation value is calculated, and based on the ion concentration deviation value and the unit concentration value of the target ion of the dialysis replacement fluid, the user's initial dialysis replacement fluid ion concentration requirement is calculated through a dialysis fluid replacement algorithm.

6. The method according to claim 3, characterized in that The actual dialysis replacement fluid ion concentration requirement range required by the user is predicted by a replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user, including: Based on the filter permeability level of the dialyzer, query the permeability parameter corresponding to the filter permeability level in the database, and based on the replacement fluid ion diffusion velocity corresponding to the user, convert the replacement fluid ion diffusion velocity into a replacement fluid influencing parameter of the replacement fluid prediction model through a parameter conversion program; Based on the permeability parameter and the replacement fluid influencing parameter, the model prediction parameters of the replacement fluid prediction model are adjusted to obtain the target replacement fluid prediction model corresponding to the dialyzer, and the initial dialysis replacement fluid ion concentration requirement is input into the target replacement fluid prediction model to obtain the actual dialysis replacement fluid ion concentration requirement range required by the user.

7. A user's dialysis replacement fluid configuration guidance system, characterized in that: The system comprises: an acquisition module, used to acquire dialyzer information of the dialyzer and a current blood gas test result of the user, and identify the current blood state information of the user and the current blood ion concentration value of the user based on the current blood gas test result of the user; an identification module, configured to identify filter permeability information of the dialyzer based on the dialyzer information, and to identify a diffusion velocity of replacement fluid ions corresponding to the user based on the current blood state information; A prediction module, for calculating the initial dialysis replacement fluid ion concentration requirement of the user based on the current blood ion concentration value of the user and the preset dialysis replacement fluid information, and predicting the actual dialysis replacement fluid ion concentration requirement range required by the user through a replacement fluid prediction model based on the initial dialysis replacement fluid ion concentration requirement, the filter permeability information of the dialyzer, and the replacement fluid ion diffusion velocity corresponding to the user; The determination module is used to use the actual dialysis replacement fluid ion concentration requirement range as the replacement fluid configuration guidance information of the user.

8. A computer device comprising a memory and a processor, wherein the memory stores a computer program, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 6 are implemented.

9. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 6 are implemented.

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