Pancreatic islet function evaluation system and method

Abstract

The invention relates to a pancreas islet function evaluation system and method, and relates to the technical field of intelligent diagnosis and treatment of diabetes. The system is characterized in that a Web end and / or a program end acquires patient data and sends the patient data to an evaluation platform; wherein the patient data comprises basic information, pancreas islet function related detection data and past medical history; the evaluation platform calculates an islet function evaluation result based on the patient data and a preset discrimination evaluation model; the evaluation platform sends the pancreas islet function evaluation result to the Web terminal and / or the program terminal; and the Web end and / or the program end displays the pancreas islet function evaluation result. By adopting the pancreas islet function evaluation system, the pancreas islet function can be evaluated more accurately.

Description

Technical Field

[0001] The present application relates to the technical field of intelligent diagnosis and treatment of diabetes, and in particular to a system and method for evaluating pancreatic islet function. Background Art

[0002] Pancreatic islet dysfunction and failure is one of the core pathological mechanisms of diabetes, especially for type 2 diabetes mellitus (T2DM), where the gradual decline of β-cell function is one of its prominent features. Therefore, accurate assessment of pancreatic islet function is crucial for the diagnosis, treatment selection and prognosis of diabetes.

[0003] At present, islet function assessment software generally records and analyzes fasting and postprandial blood sugar data, and uses this as the basis for islet function assessment. However, blood sugar values ​​are affected by many factors, such as diet structure, exercise status, mood swings and stress status, etc. These factors can cause blood sugar data to fluctuate greatly. Therefore, it is difficult to accurately obtain the true status of islet function by relying only on the single detection dimension of fasting and postprandial blood sugar. Summary of the invention

[0004] Based on this, it is necessary to provide a more accurate islet function evaluation system and method for evaluating islet function in response to the above technical problems.

[0005] The present application provides a pancreatic islet function assessment system, comprising:

[0006] The Web terminal and / or the program terminal of the terminal obtains patient data and sends the patient data to the evaluation platform; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history;

[0007] The evaluation platform calculates the islet function evaluation result based on the patient data and a preset discrimination evaluation model;

[0008] The evaluation platform sends the pancreatic islet function evaluation result to the Web terminal and / or program terminal of the terminal;

[0009] The web terminal and / or program terminal of the terminal displays the pancreatic islet function assessment result.

[0010] As an optional implementation of the embodiment of the present application, the test data related to pancreatic islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood sugar, insulin and / or C-peptide, and the basic information includes: gender, height, weight, date of birth;

[0011] The evaluation platform calculates the islet function evaluation result based on the patient data and a preset discrimination evaluation model, including:

[0012] The evaluation platform selects a corresponding preset discriminant evaluation model based on the patient data;

[0013] The evaluation platform inputs each indicator in the patient data into the preset discrimination evaluation model to obtain the pancreatic islet function evaluation result.

[0014] As an optional implementation of the present application, the islet function assessment result includes: a standardized islet function index calculated based on insulin and / or C-peptide;

[0015] The web terminal and / or program terminal of the terminal displays the pancreatic islet function assessment result, including:

[0016] The web terminal and / or the program terminal of the terminal displays at least one of the following information in the result display page:

[0017] Indicator graph of normalized islet function index calculated based on insulin and / or C-peptide;

[0018] The indication information of whether the standardized index of pancreatic islet function is at an average level, the indication information is used to indicate being below the average level, at the average level or above the average level.

[0019] As an optional implementation of the embodiment of the present application, the pancreatic islet function assessment result further includes: blood glucose, insulin and / or C-peptide detection data corresponding to multiple time points, and the basic information;

[0020] The web terminal and / or the program terminal of the terminal also displays at least one of the following information in the result display page:

[0021] Graphs of blood glucose, insulin and / or C-peptide corresponding to multiple time points;

[0022] A table of blood glucose, insulin and / or C-peptide corresponding to the multiple time points;

[0023] The basic information.

[0024] As an optional implementation of the embodiment of the present application, the result display page includes a download control;

[0025] The Web end and / or the program end of the terminal generates a test result report based on the pancreatic islet function assessment result displayed in the result display page in response to receiving a trigger operation for the download control;

[0026] The Web end and / or program end of the terminal downloads the detection result report to the local.

[0027] As an optional implementation of the embodiment of the present application, the Web end and / or the program end of the terminal obtains the patient data and sends the patient data to the evaluation platform, including:

[0028] The web terminal and / or the program terminal of the terminal displays a data collection page, wherein the data collection page includes an input area for the basic information, an input area for the test data related to the pancreatic islet function, and an input area for the past medical history;

[0029] The Web end and / or program end of the terminal obtains the patient data in response to the received input operation, and sends the patient data to the evaluation platform.

[0030] As an optional implementation of the embodiment of the present application, the program end of the terminal obtains patient data and sends the patient data to the evaluation platform, including:

[0031] The program end of the terminal displays a first acquisition page, wherein the first acquisition page includes an input area for the basic information and a first confirmation control;

[0032] The program end of the terminal acquires the basic information in response to the received first input operation;

[0033] In response to receiving a trigger operation for the first confirmation control, the program end of the terminal switches to display a second acquisition page, wherein the second acquisition page includes an input area for the test data related to the pancreatic islet function and a second confirmation control;

[0034] The program end of the terminal obtains the detection data related to the pancreatic islet function in response to the received second input operation;

[0035] In response to receiving a trigger operation for the second confirmation control, the program end of the terminal switches to display a third collection page, wherein the third collection page includes an input area for the past medical history and a third confirmation control;

[0036] In response to receiving a trigger operation for the third confirmation control, the program end of the terminal obtains the past medical history and sends the basic information, the test data related to the pancreatic islet function and the past medical history to the evaluation platform.

[0037] As an optional implementation of the embodiment of the present application, the second acquisition page further includes: a first return control; the system further includes:

[0038] In response to receiving a trigger operation for the first return control, the program end of the terminal switches to displaying the first acquisition page;

[0039] The third acquisition page also includes: a second return control; the system also includes:

[0040] In response to receiving a trigger operation for the second return control, the program end of the terminal switches to displaying the second acquisition page.

[0041] As an optional implementation of the embodiment of the present application, the system further includes: the evaluation platform stores the islet function evaluation result and the evaluation time in historical data in correspondence;

[0042] In response to receiving a viewing operation for historical data, the Web terminal and / or the program terminal of the terminal requests the historical data from the evaluation platform, and after obtaining the historical data sent by the evaluation platform, displays a historical data display page, wherein the historical data display page includes: viewing controls for different evaluation times in history and the pancreatic islet function evaluation results corresponding to each evaluation time, wherein the viewing controls are used to trigger the display of the corresponding pancreatic islet function evaluation results;

[0043] The historical data display page also includes: a screening information input area;

[0044] The web terminal and / or the program terminal of the terminal obtains the screening information in response to receiving the input operation for the screening information input area, and displays a screening result page, wherein the screening result page includes a target evaluation time corresponding to the screening information and a viewing control for the pancreatic islet function evaluation result corresponding to the target evaluation time;

[0045] Wherein, the screening information includes: evaluation time and / or patient name.

[0046] As an optional implementation of the embodiment of the present application, the evaluation platform uses the AES-256 algorithm for encrypted storage when storing data;

[0047] and / or,

[0048] The Web end and / or program end of the terminal and the evaluation platform use the HTTPS protocol to encrypt and transmit data during data transmission.

[0049] A second aspect provides a method for evaluating pancreatic islet function, the method comprising:

[0050] Acquire patient data; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history; the patient data is used to determine the corresponding preset discrimination and evaluation model, and in combination with the preset discrimination and evaluation model, calculate the pancreatic islet function evaluation result;

[0051] The pancreatic islet function assessment result is output.

[0052] A third aspect provides a method for evaluating pancreatic islet function, the method comprising:

[0053] The Web end and / or program end of the terminal obtains patient data and sends the patient data to the evaluation platform; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history; the patient data is used to determine the corresponding preset discrimination evaluation model, and in combination with the preset discrimination evaluation model, calculate the pancreatic islet function evaluation result;

[0054] The Web terminal and / or the program terminal of the terminal receives the pancreatic islet function assessment result sent by the assessment platform;

[0055] The web terminal and / or program terminal of the terminal displays the pancreatic islet function assessment result in a result display page.

[0056] A fourth aspect provides a method for evaluating pancreatic islet function, the method comprising:

[0057] The evaluation platform receives patient data sent by the Web terminal and / or the program terminal of the terminal; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history;

[0058] The evaluation platform calculates the islet function evaluation result based on the patient data and a preset discrimination evaluation model;

[0059] The evaluation platform sends the pancreatic islet function evaluation result to the Web terminal and / or program terminal of the terminal.

[0060] According to a fifth aspect, a terminal is provided, the terminal comprising:

[0061] A data acquisition and transmission module is used to acquire patient data through a Web terminal and / or a program terminal, and send the patient data to an evaluation platform; wherein the patient data includes: basic information, test data related to pancreatic islet function, and past medical history; the patient data is used to determine a corresponding preset discrimination and evaluation model, and in combination with the preset discrimination and evaluation model, calculate the pancreatic islet function evaluation result;

[0062] An evaluation result acquisition module, used for receiving the pancreatic islet function evaluation result sent by the evaluation platform through the Web terminal and / or the program terminal of the terminal;

[0063] A display module is used to display the pancreatic islet function assessment result in a result display page through the Web terminal and / or the program terminal of the terminal.

[0064] In a sixth aspect, an evaluation platform is provided, the evaluation platform comprising:

[0065] A receiving module, used to receive patient data sent by the Web terminal and / or the program terminal of the terminal; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history;

[0066] An evaluation module, used to calculate the islet function evaluation result based on the patient data and a preset discrimination evaluation model;

[0067] The sending module is used to send the pancreatic islet function assessment result to the Web terminal and / or program terminal of the terminal.

[0068] In a seventh aspect, a computer device is provided, comprising: a memory and a processor, wherein the memory is used to store a computer program, and the processor is used to enable the computer device to implement any one of the methods in the second aspect, the third aspect and the fourth aspect when executing the computer program.

[0069] In an eighth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a computing device, the computing device implements the method described in any one of the second, third and fourth aspects.

[0070] In a ninth aspect, the present application provides a computer program product, which, when executed on a computer, enables the computer to implement the method described in any one of the second aspect, the third aspect and the fourth aspect.

[0071] In the above-mentioned islet function evaluation system, the terminal first obtains patient data through the Web terminal and / or the program terminal, and sends the patient data to the evaluation platform, and then the evaluation platform calculates the islet function evaluation result based on the patient data and the preset discriminant evaluation model, and sends the islet function evaluation result to the Web terminal and / or the program terminal of the terminal, and finally displays the islet function evaluation result through the Web terminal and / or the program terminal of the terminal. Since the patient data sent by the Web terminal and / or the program terminal of the terminal to the evaluation platform includes: basic information, test data related to islet function and previous medical history, the discriminant evaluation model of the evaluation platform can evaluate islet function based on data in multiple dimensions, thereby obtaining more accurate islet function evaluation results. BRIEF DESCRIPTION OF THE DRAWINGS

[0072] In order to more clearly illustrate the technical solutions in the embodiments of the present application or the related technologies, the drawings required for use in the embodiments or the related technical descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0073] Figure 1 is a schematic diagram of the structure of a pancreatic islet function assessment system in one embodiment;

[0074] Figure 2 An interactive flow chart of a method performed by a pancreatic islet function assessment system in one embodiment;

[0075] Figure 3 A schematic diagram of a Web-based information collection interface in one embodiment;

[0076] Figure 4 This is a schematic diagram of an information collection interface of a program terminal in one embodiment;

[0077] Figure 5 This is a schematic diagram of the program terminal information collection interface in another embodiment;

[0078] Figure 6 A schematic diagram of a result display page showing the pancreatic islet function assessment result in one embodiment;

[0079] Figure 7 A schematic diagram of a result display page showing the pancreatic islet function assessment result in another embodiment;

[0080] Figure 8 A schematic diagram of a result display page showing the pancreatic islet function assessment result in another embodiment;

[0081] Fig. 9 A schematic diagram of a historical data display page in one embodiment;

[0082] Fig.10 is a structural block diagram of a terminal in an embodiment;

[0083] Fig.11 The figure is a structural block diagram of an evaluation platform in one embodiment. DETAILED DESCRIPTION

[0084] In order to make the purpose, technical solution and advantages of the present application more clearly understood, the present application is further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and are not used to limit the present application.

[0085] The term "and / or" in this article is only a description of the association relationship of associated objects, indicating that there can be three relationships. For example, A and / or B can represent: A exists alone, A and B exist at the same time, and B exists alone. In addition, the character " / " in this article generally indicates that the previous and next associated objects are in an "or" relationship; in a formula, the character " / " indicates that the previous and next associated objects are in a "division" relationship. If not specified, "multiple" in this article refers to two or more.

[0086] In order to facilitate the clear description of the technical solutions of the embodiments of the present application, in the embodiments of the present invention, the words "first", "second", etc. are used to distinguish the same items or similar items with basically the same functions or effects. Those skilled in the art can understand that the words "first", "second", etc. do not limit the quantity and execution order.

[0087] In the embodiments of the present application, words such as "exemplary" or "for example" are used to indicate examples, illustrations or descriptions. Any embodiment or design described as "exemplary" or "for example" in the embodiments of the present application should not be interpreted as being more preferred or more advantageous than other embodiments or designs. Specifically, the use of words such as "exemplary" or "for example" is intended to present related concepts in a concrete way. In the embodiments of the present application, unless otherwise specified, the meaning of "multiple" refers to two or more.

[0088] The present application embodiment provides a pancreatic islet function assessment system, referring to Figure 1 As shown, the pancreatic islet function evaluation system includes: a Web terminal and / or a program terminal 11 of a terminal and an evaluation platform 12. The Web terminal and / or the program terminal 11 of the terminal is used to obtain patient data and send the patient data to the evaluation platform 12. The evaluation platform calculates the pancreatic islet function evaluation result based on the patient data sent by the Web terminal and / or the program terminal 11 of the terminal and the preset discrimination evaluation model, and sends the pancreatic islet function evaluation result to the Web terminal and / or the program terminal 11 of the terminal. The Web terminal and / or the program terminal 11 of the terminal is also used to display the pancreatic islet function evaluation result after receiving the pancreatic islet function evaluation result sent by the evaluation platform 12.

[0089] Among them, the terminal in the pancreatic islet function evaluation system provided in the embodiment of the present application can be a mobile phone, a tablet computer, a laptop computer, an ultra-mobile personal computer (Ultra-Mobile Personal Computer, UMPC), a netbook, a personal digital assistant (Personal Digital Assistant, PDA), a smart watch, a smart bracelet and other terminal devices, or the terminal device can also be other types of terminal devices, which is not limited in the embodiment of the present application. Figure 1 The web terminal and / or program terminal 11 of the terminal is taken as an example of a mobile phone.

[0090] In the embodiment of the present application, the Web terminal and / or the program terminal 11 of the terminal may be a software platform configured in the terminal.

[0091] In some embodiments, the evaluation platform may be a partial functional module or functional entity used locally in the terminal for islet function evaluation.

[0092] In some embodiments, the evaluation platform may be a terminal device.

[0093] In some embodiments, the above-mentioned evaluation platform may be a cloud platform. When the evaluation platform is a cloud platform, the evaluation platform may be a tower server, a rack server, a blade server, a cloud server, a virtual server, or the server may also be other types of servers, which is not limited in the embodiments of the present application.

[0094] In an exemplary embodiment, the present application also provides a pancreatic islet function evaluation method performed by a pancreatic islet function evaluation system, referring to Figure 2 As shown, the method for evaluating pancreatic islet function comprises the following steps:

[0095] S21. The Web terminal and / or program terminal of the terminal obtains patient data.

[0096] In the above-mentioned embodiments of the present application, the program end of the terminal may include: an application end or a mini-program end.

[0097] Among them, the application side usually refers to an application that is independently installed on the terminal device, such as an application specifically used for islet function assessment that is downloaded and installed from a mobile app store. It has a relatively complete functional system and a relatively independent operating environment, and can make full use of the hardware resources of the terminal device and the various functional interfaces provided by the operating system. The application side generally requires users to download and install on the device. After installation, a corresponding icon will be generated on the device's home screen or application list, and users can start the application by clicking on the icon. It can provide a richer interactive experience and more complex functions. For example, it can be deeply integrated with the device's camera, sensors and other hardware to facilitate the collection of patient data, such as taking photos of patients' relevant test reports and obtaining physiological data monitored by body sensors.

[0098] The mini program terminal is an application that can be used without downloading and installing. It runs on the mini program framework of a large platform (which can be an application). For the pancreatic islet function assessment system, the mini program terminal can be directly accessed and used by users on these platforms. Users only need to search for the corresponding mini program name in the corresponding platform to open and use it. There is no need for a special download and installation process like an application. It is relatively more convenient and takes up less device storage space.

[0099] The patient data include basic information, test data related to pancreatic islet function and past medical history.

[0100] In some embodiments, the basic information may include: at least one of gender, height, weight, and date of birth. Optionally, the basic information may also include body mass index (BMI).

[0101] In some embodiments, the test data related to pancreatic islet function may include: glycosylated hemoglobin and multiple test results based on an oral glucose tolerance test (Oral Glucose Tolerance Test, OGTT), wherein the multiple test results based on the OGTT include: blood glucose, insulin and / or C-peptide.

[0102] OGTT is the gold standard test method for diagnosing diabetes and assessing insulin sensitivity. Specifically, the patient orally takes a solution containing a preset amount of glucose after fasting for a preset period of time, and draws venous blood at 0 (fasting), 30, 60, 120 and 180 minutes to detect the dynamic changes in blood glucose, insulin and C-peptide values. This test generates a "blood glucose-insulin time curve" by simulating postprandial metabolic reactions, which can more sensitively detect early insulin resistance or β-cell dysfunction. Therefore, the test results of OGTT can be included in patient data to improve the accuracy of the assessment. Exemplarily, the above preset durations are: 8 hours, 7 hours, 9 hours, etc. Exemplarily, the above preset content is 75g.

[0103] Blood sugar refers to the concentration of glucose in the blood and is a key indicator for assessing the state of sugar metabolism (such as normal fasting blood sugar 3.9-6.1 mmol / L). Long-term high blood sugar (such as fasting ≥7.0 mmol / L) indicates the risk of diabetes and leads to vascular complications. Therefore, a "blood sugar fluctuation curve" can be constructed through blood sugar data at multiple time points of OGTT, and insulin resistance indexes such as HOMA-IR can be calculated in combination with other parameters to assist in determining diabetes classification and treatment priority.

[0104] Insulin is a hypoglycemic hormone secreted by pancreatic β cells, and its concentration reflects the immediate secretion capacity of β cells. In the OGTT test, if the peak of insulin secretion is delayed (such as 120 minutes is still 3 times higher than fasting) or the total amount is insufficient, it indicates type 2 diabetes or β cell failure. Therefore, the insulin time point detection value can be integrated, and the combined analysis with C-peptide can eliminate the interference of exogenous insulin and accurately evaluate the endogenous insulin secretion function.

[0105] C-peptide is a byproduct of insulin synthesis. Its blood concentration corresponds to endogenous insulin secretion in a 1:1 ratio and has a long half-life (about 30 minutes, more stable than insulin). It is a reliable indicator for assessing residual β-cell function. When patients use exogenous insulin (because C-peptide is not affected by it), C-peptide levels can be used to distinguish between type 1 diabetes (very low C-peptide) and type 2 diabetes. Therefore, C-peptide can be included in patient data to improve the accuracy of assessment.

[0106] Glycated hemoglobin A1c (HbA1c) can reflect the average blood sugar level in the past 2-3 months (normal value is 4-5.6%, ≥6.5% is diagnosed as diabetes). Its advantage is that it is not affected by short-term blood sugar fluctuations, but it cannot capture the dynamic changes of blood sugar. Therefore, glycated hemoglobin can be included in patient data to improve the accuracy of assessment.

[0107] In an exemplary embodiment, the implementation method of obtaining patient data on the Web end and / or the program end may include the following steps a and b:

[0108] Step a: The web terminal and / or program terminal displays the data collection page.

[0109] The data collection page includes an input area for the basic information, an input area for the test data related to pancreatic islet function, and an input area for the past medical history.

[0110] Step b: The Web end and / or the program end obtains the patient data in response to the received input operation.

[0111] For example, refer to Figure 3 As shown, the data collection page displayed on the Web terminal includes: an input area 31 for the basic information, an input area 32 for the test data related to the islet function, an input area 33 for the medical history, and a confirmation control 34; the Web terminal obtains the patient data in response to the received input operation, including: the Web terminal responds to the received input operation on the confirmation control 34 to collect the basic information, the test data related to the islet function, and the medical history.

[0112] For example, refer to Figure 4As shown, the program end obtains patient data, including: the program end displays a first acquisition page 41, the first acquisition page 41 includes an input area 411 for the basic information, and a first confirmation control 412; in response to a received first input operation, the basic information is obtained, and in response to receiving a trigger operation for the first confirmation control 412, the display of the second acquisition page 42 is switched to the display; the second acquisition page 42 includes an input area 421 and a second confirmation control 422 for the detection data related to the islet function; in response to receiving a trigger operation for the second confirmation control 422, the detection data related to the islet function is obtained; in response to receiving a trigger operation for the second confirmation control 422, the display of the third acquisition page 43 is switched to the display, the third acquisition page 43 includes an input area 431 and a third confirmation control 432 for the past medical history; in response to receiving a trigger operation for the third confirmation control 432, the past medical history is obtained.

[0113] Further, see Figure 5 As shown, the second acquisition page also includes: a first return control 423; the program end is also used to switch to display the first acquisition page 41 in response to receiving a trigger operation for the first return control 423; the third acquisition page 43 also includes: a second return control 433; the program end is also used to switch to display the second acquisition page 42 in response to receiving a trigger operation for the second return control 433.

[0114] Since the Web client is mostly used in terminals such as computers, its display area is large, so it can be used Figure 3 The data collection page shown in the figure is implemented to collect multiple information at one time. The program terminal is generally used in terminals such as mobile phones, and its display area is small, so it can be used Figure 4 The data collection method shown collects patient data in steps, so as to be suitable for application in actual scenarios and improve the applicability of the solution in actual scenarios.

[0115] Users first register and log in (users can log in with username + password and mobile phone number + verification code), or they can enter the information collection page of the web and / or program end as an anonymous user.

[0116] S22. The Web end and / or the program end of the terminal sends the patient data to the evaluation platform.

[0117] The evaluation platform can receive the patient data sent by the Web terminal and / or the program terminal.

[0118] In some embodiments, the Web end and / or program end uses Hypertext Transfer Protocol Secure (HTTPS) to encrypt data during data transmission between the Web end and / or program end and the evaluation platform. That is, the Web end and / or program end can send the patient data to the evaluation platform via HTTPS, and the evaluation platform can receive the patient data sent by the Web end and / or program end via HTTPS.

[0119] Using the HTTPS protocol to encrypt and transmit patient data can effectively prevent patient data from being intercepted or tampered with during transmission, thereby improving the security of patient data.

[0120] In some embodiments, the evaluation platform may also use the Advanced Encryption Standard (AES) 256 algorithm to encrypt and store the patient data.

[0121] The AES-256 algorithm is a symmetric encryption algorithm, which means that the same key is used for encryption and decryption. It uses a block cipher to divide the information to be encrypted (plaintext) into 128-bit (16-byte) blocks. Even if the data length is not an integer multiple of 128 bits, there are corresponding padding rules. Its encryption process is based on the Substitution Permutation Network (SPN), and each data block is processed in multiple rounds (14 rounds). Each round includes operations such as byte replacement, row shift, column mixing, and round key addition. Each round of operation makes the data more secure and increases the difficulty of cracking.

[0122] Using the AES-256 algorithm to encrypt and store patient data can effectively prevent patient data leakage, thereby improving the security of patient data.

[0123] S23. The evaluation platform calculates the islet function evaluation result based on the patient data and a preset discrimination evaluation model.

[0124] In some embodiments, the test data related to islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood glucose, insulin and / or C-peptide, and the basic information includes: at least one of gender, height, weight, and date of birth; the evaluation platform calculates the islet function evaluation result based on the patient data and a preset discrimination evaluation model, including the following steps 0 to 1:

[0125] Step 0: The evaluation platform selects a corresponding preset discriminant evaluation model based on the patient data.

[0126] In the disclosed embodiment, several different discrimination evaluation models may be preset in advance, wherein different discrimination evaluation models may be obtained by training based on different historical data.

[0127] Different discriminant evaluation models can be selected based on different patient data.

[0128] Exemplarily, three types of discrimination and evaluation models can be preset in advance, namely, standard model, simplified model A, and simplified model B. When the multiple test results based on OGTT included in the patient data include: venous blood is drawn at time points such as 0, 30, 60, 120 and 180 minutes, and the test results obtained by detecting the dynamic changes of blood sugar, insulin, and C-peptide values, the patient data at this time is considered to be relatively complete, and a preset standard model can be selected, and the patient data can be input into the standard model for discrimination and evaluation to obtain the discrimination results; when the multiple test results based on OGTT included in the patient data include: venous blood is drawn at time points such as 0, 30, 120 minutes (optionally, 180 minutes can also be included), and the test results obtained by detecting the dynamic changes of blood sugar, insulin, and C-peptide values, this The patient data at that time is considered incomplete, and 60 minutes of data are missing, the preset simplified model A can be selected, and the patient data can be input into the simplified model A for discrimination evaluation to obtain a discrimination result; the multiple test results based on OGTT included in the patient data include: venous blood is drawn at time points such as 0, 60, and 120 minutes (optionally, 180 minutes can also be included), and the test results obtained by detecting the dynamic changes of blood glucose, insulin, and C-peptide values, the patient data at this time is considered incomplete, and 30 minutes of data are missing, the preset simplified model B can be selected, and the patient data can be input into the simplified model B for discrimination evaluation to obtain a discrimination result.

[0129] Step 1: The evaluation platform inputs each indicator in the patient data into the preset discrimination evaluation model to calculate the islet function evaluation result.

[0130] During the training process of the preset discriminant evaluation model, the dimensions (units) and numerical ranges of different indicators in the patient data used for training vary greatly. For example, the unit of blood sugar is mmol / L, the unit of insulin is pmol / L, and their numerical ranges are also different. If these data are directly calculated, those indicators with large values ​​or special dimensions will dominate the calculation process, which will seriously affect the accuracy of the model evaluation. Therefore, in the embodiment of the present application, for the patient data used for training, each indicator will be normalized first to obtain a comprehensive evaluation index, and then the training work will continue based on this comprehensive evaluation index. In addition, the importance of different indicators in the comprehensive evaluation of pancreatic islet function is not the same. Taking some evaluation systems as an example, blood sugar can reflect the current state of pancreatic islet function and is one of the key indicators; changes in insulin secretion capacity are also very important for evaluation; C-peptide has unique value for evaluating the secretion capacity of its own pancreatic beta cells. Therefore, it is necessary to assign corresponding weights to each indicator to reflect their relative importance in the comprehensive evaluation, and then obtain the comprehensive evaluation index by weighted calculation. The above-mentioned preset discriminant evaluation model is obtained as follows: training based on a large amount of existing patient data. These data can include comprehensive evaluation indexes and corresponding known pancreatic islet function conditions, such as normal, damaged, diabetic, etc. The model learns the characteristics and rules in these data to establish a mapping relationship between the comprehensive evaluation index and the pancreatic islet function condition, as well as a mapping relationship between each indicator in the patient data and the pancreatic islet function condition.

[0131] In some embodiments, the islet function assessment result includes: a standardized islet function index calculated based on insulin and / or C-peptide, blood glucose, insulin and / or C-peptide detection data corresponding to multiple time points, and at least one of the basic information.

[0132] S24. The evaluation platform sends the pancreatic islet function evaluation result to the Web terminal and / or program terminal of the terminal.

[0133] Accordingly, the Web terminal and / or the program terminal receives the pancreatic islet function assessment results sent by the assessment platform.

[0134] Similarly, the evaluation platform can send the islet function evaluation results to the Web terminal and / or the program terminal via HTTPS, and the Web terminal and / or the program terminal can receive the islet function evaluation results sent by the evaluation platform via HTTPS, thereby improving the effectiveness of the islet function evaluation results.

[0135] S25. The web terminal and / or program terminal of the terminal displays the pancreatic islet function assessment result.

[0136] In some embodiments, the pancreatic islet function assessment result includes: a pancreatic islet function standardized index calculated based on insulin and / or C-peptide. Figure 6 As shown, the Web end and / or the program end displaying the pancreatic islet function assessment result includes displaying at least one of the following information in the result display page 600:

[0137] Information 1. Indicator diagram of the standardized index of pancreatic islet function calculated based on insulin peptide 61;

[0138] Information 2, the index diagram of the standardized index of pancreatic islet function calculated based on C-peptide 62;

[0139] Information 3: Indication information 63 of whether the standardized index of pancreatic islet function is at an average level. The indication information is used to indicate whether it is below the average level, at the average level, or above the average level.

[0140] In some embodiments, the pancreatic islet function assessment results also include: blood glucose, insulin and / or C-peptide detection data corresponding to multiple time points, and the basic information; Figure 7 As shown, the Web end and / or the program end displaying the pancreatic islet function assessment result also includes displaying at least one of the following information in the result display page 600:

[0141] Information 4, blood sugar curves 64 corresponding to multiple time points;

[0142] Information 5, curve patterns 65 of insulin corresponding to multiple time points;

[0143] Information 6, C-peptide curve graphs corresponding to multiple time points 66;

[0144] Information 7, a table 67 of blood sugar corresponding to the multiple time points;

[0145] Information 8, a table 68 of insulin corresponding to the multiple time points;

[0146] Information 9, a table 69 of C-peptides corresponding to the multiple time points;

[0147] Information 10, the basic information 610.

[0148] The above-mentioned islet function evaluation system first obtains patient data through the Web terminal and / or the program terminal, and sends the patient data to the evaluation platform, and then the evaluation platform calculates the islet function evaluation result based on the patient data and the preset discriminant evaluation model, and sends the islet function evaluation result to the Web terminal and / or the program terminal, and finally displays the islet function evaluation result through the Web terminal and / or the program terminal. Since the patient data sent by the Web terminal and / or the program terminal to the evaluation platform includes: basic information, islet function-related test data and previous medical history, the discriminant evaluation model of the evaluation platform can evaluate islet function based on data in multiple dimensions, thereby obtaining more accurate islet function evaluation results.

[0149] In some embodiments, reference Figure 8 As shown, the result display page 600 includes a download control 611; the Web end and / or the program end generates a test result report and downloads the test result report to the local computer in response to receiving a trigger operation for the download control 611 based on the pancreatic islet function assessment results displayed in the result display page.

[0150] Users can download the test result report as a clinical test result report to meet clinical examination business needs.

[0151] In some embodiments, the evaluation platform can also store the islet function evaluation results and the evaluation time in the historical data. In response to receiving the viewing operation for the historical data, the web terminal and / or the program terminal requests the historical data from the evaluation platform, and after obtaining the historical data sent by the evaluation platform, displays the historical data display page. Fig. 9 As shown, the historical data display page 91 includes: different evaluation times in history, and a viewing control 911 for the islet function evaluation result corresponding to each evaluation time, and the viewing control 911 is used to trigger the display of the corresponding islet function evaluation result; the historical data display page 91 also includes: a filtering information input area 912; the Web end and / or the program end obtains the filtering information in response to receiving the input operation for the filtering information input area 912, and displays the filtering result page 92, and the filtering result page 92 includes the target evaluation time corresponding to the filtering information, and a viewing control for the islet function evaluation result corresponding to the target evaluation time. Wherein, the filtering information includes: evaluation time and / or patient name.

[0152] In an embodiment of the present application, a method for evaluating pancreatic islet function is also provided, which can be applied to a terminal and / or an evaluation platform.

[0153] Acquire patient data; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history; the patient data is used to determine the corresponding preset discrimination and evaluation model, and calculate the pancreatic islet function evaluation result in combination with the preset discrimination and evaluation model;

[0154] The pancreatic islet function assessment result is output.

[0155] The above-mentioned pancreatic islet function assessment method applied to the terminal and / or the assessment platform may also include: each step involved in the terminal and / or the assessment platform in the above-mentioned system embodiment.

[0156] In an embodiment of the present application, a pancreatic function evaluation method is also provided, which is applied to a terminal, including: the Web end and / or program end of the terminal obtains patient data and sends the patient data to an evaluation platform; wherein the patient data includes: basic information, test data related to pancreatic function and previous medical history; the patient data is used to determine a corresponding preset discriminant evaluation model, and calculate the pancreatic function evaluation result in combination with the preset discriminant evaluation model; the Web end and / or program end of the terminal receives the pancreatic function evaluation result sent by the evaluation platform; the Web end and / or program end of the terminal displays the pancreatic function evaluation result in a result display page.

[0157] In some embodiments, the test data related to pancreatic islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood glucose, insulin and / or C-peptide, and the basic information includes: at least one of: gender, height, weight, and date of birth;

[0158] The islet function assessment results include: a standardized islet function index calculated based on insulin and / or C-peptide;

[0159] The result display page displays at least one of the following information:

[0160] Indicator graph of normalized islet function index calculated based on insulin and / or C-peptide;

[0161] The indication information of whether the standardized index of pancreatic islet function is at an average level, the indication information is used to indicate being below the average level, at the average level or above the average level.

[0162] In some embodiments, the above-mentioned pancreatic islet function evaluation method applied to the terminal can also implement various processes implemented by the Web terminal and / or program terminal of the terminal in the above-mentioned pancreatic islet function evaluation system embodiment, which will not be repeated here.

[0163] In an embodiment of the present application, a pancreatic function evaluation method is also provided, which is applied to an evaluation platform, including: the evaluation platform receives patient data sent by the Web end and / or program end of the terminal; wherein the patient data includes: basic information, test data related to pancreatic function and previous medical history; the evaluation platform calculates the pancreatic function evaluation result based on the patient data and a preset discriminant evaluation model; the evaluation platform sends the pancreatic function evaluation result to the Web end and / or program end of the terminal.

[0164] In some embodiments, the above-mentioned islet function evaluation method applied to the evaluation platform can also implement the various processes implemented by the Web end and / or program end of the evaluation platform in the above-mentioned islet function evaluation system embodiment, which will not be repeated here.

[0165] In the present application embodiment, Fig.10 As shown, a structural block diagram of a terminal is also provided, and the terminal includes:

[0166] The data acquisition and transmission module 1001 is used to acquire patient data through the Web terminal and / or the program terminal, and send the patient data to the evaluation platform; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history; the patient data is used to determine the corresponding preset discrimination evaluation model, and in combination with the preset discrimination evaluation model, calculate the pancreatic islet function evaluation result;

[0167] An evaluation result acquisition module 1002 is used to receive the pancreatic islet function evaluation result sent by the evaluation platform through a Web terminal and / or a program terminal;

[0168] The display module 1003 is used to display the pancreatic islet function assessment result in a result display page via a Web terminal and / or a program terminal.

[0169] In some embodiments, the test data related to pancreatic islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood glucose, insulin and / or C-peptide, and the basic information includes: at least one of: gender, height, weight, and date of birth;

[0170] The islet function assessment results include: a standardized islet function index calculated based on insulin and / or C-peptide;

[0171] The result display page displays at least one of the following information:

[0172] Indicator graph of normalized islet function index calculated based on insulin and / or C-peptide;

[0173] The indication information of whether the standardized index of pancreatic islet function is at an average level, the indication information is used to indicate being below the average level, at the average level or above the average level.

[0174] In some embodiments, the pancreatic islet function assessment result further includes: blood glucose, insulin and / or C-peptide detection data corresponding to multiple time points, and the basic information;

[0175] The result display page also displays at least one of the following information:

[0176] Graphs of blood glucose, insulin and / or C-peptide corresponding to multiple time points;

[0177] A table of blood glucose, insulin and / or C-peptide corresponding to the multiple time points;

[0178] The basic information.

[0179] In some embodiments, the result display page includes a download control; the terminal also includes: a report generation download module 1004, which is used to generate a test result report based on the pancreatic islet function assessment results displayed in the result display page in response to receiving a trigger operation for the download control; and download the test result report to a local computer via a Web terminal and / or a program terminal.

[0180] In some embodiments, the data acquisition and transmission module 1001 is specifically used to: display a data acquisition page through a Web terminal and / or a program terminal, wherein the data acquisition page includes an input area for the basic information, an input area for the test data related to the pancreatic islet function, and an input area for the past medical history;

[0181] The patient data is obtained through the Web terminal and / or the program terminal in response to the received input operation, and the patient data is sent to the evaluation platform.

[0182] In some embodiments, the data acquisition and transmission module 1001 is specifically used to: display a first acquisition page through a program terminal, wherein the first acquisition page includes an input area for the basic information and a first confirmation control; obtain the basic information through the program terminal in response to a received first input operation; switch to display a second acquisition page through the program terminal in response to receiving a trigger operation for the first confirmation control, wherein the second acquisition page includes an input area for the test data related to the islet function and a second confirmation control; obtain the test data related to the islet function through the program terminal in response to the received second input operation; switch to display a third acquisition page through the program terminal in response to receiving a trigger operation for the second confirmation control, wherein the third acquisition page includes an input area for the past medical history and a third confirmation control; obtain the past medical history through the program terminal in response to receiving a trigger operation for the third confirmation control, and send the basic information, the test data related to the islet function and the past medical history to the evaluation platform.

[0183] In some embodiments, the second acquisition page also includes: a first return control; a data acquisition transmission module 1001, which is also used to: switch to display the first acquisition page in response to receiving a trigger operation for the first return control through the program end; the third acquisition page also includes: a second return control; the data acquisition transmission module 1001, which is also used to: switch to display the second acquisition page in response to receiving a trigger operation for the second return control through the program end.

[0184] In some embodiments, the terminal further includes: a query module 1005; the query module 1005 is used to store the islet function evaluation result and the evaluation time in the historical data in response to receiving a viewing operation on the historical data through the Web terminal and / or the program terminal, request the historical data from the evaluation platform, and after obtaining the historical data sent by the evaluation platform, display the historical data display page through the above-mentioned display module 1003, the historical data display page includes: different evaluation times in history, and a viewing control of the islet function evaluation result corresponding to each evaluation time, the viewing control is used to trigger the display of the corresponding islet function evaluation result; the historical data display page also includes: a filtering information input area; the query module 1005 is used to obtain filtering information and display a filtering result page in response to receiving an input operation on the filtering information input area through the Web terminal and / or the program terminal, the filtering result page includes the target evaluation time corresponding to the filtering information, and a viewing control of the islet function evaluation result corresponding to the target evaluation time; wherein the filtering information includes: evaluation time and / or patient name.

[0185] In the present application embodiment, Fig.11 As shown, a structural block diagram of an evaluation platform is also provided, and the evaluation platform includes:

[0186] The receiving module 1101 is used to receive patient data sent by the Web terminal and / or the program terminal of the terminal; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history;

[0187] An evaluation module 1102, configured to calculate a pancreatic islet function evaluation result based on the patient data and a preset discrimination evaluation model;

[0188] The sending module 1103 is used to send the pancreatic islet function assessment result to the Web terminal and / or program terminal of the terminal.

[0189] In some embodiments, the test data related to pancreatic islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood glucose, insulin and / or C-peptide, and the basic information includes: at least one of: gender, height, weight, and date of birth;

[0190] The evaluation module 1102 is specifically used to: select a corresponding preset discriminant evaluation model based on the patient data; and input each indicator in the patient data into the preset discriminant evaluation model to calculate a comprehensive evaluation index.

[0191] In some embodiments, a pancreatic islet function assessment device is provided, which can be applied to a terminal and / or an assessment platform.

[0192] Acquire patient data; wherein the patient data includes: basic information, test data related to pancreatic islet function and previous medical history; the patient data is used to determine the corresponding preset discrimination and evaluation model, and calculate the pancreatic islet function evaluation result in combination with the preset discrimination and evaluation model;

[0193] The pancreatic islet function assessment result is output.

[0194] In some embodiments, a computer device is provided, which includes: a memory and a processor, wherein the memory is used to store a computer program and the processor is used to enable the computer device to implement the pancreatic islet function assessment method involved in the above-mentioned terminal or assessment platform when executing the computer program.

[0195] In some embodiments, the embodiments of the present application provide a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a computing device, the computing device implements the pancreatic islet function assessment method involved in the above-mentioned terminal or assessment platform. Exemplarily, the computer-readable storage medium can be a USB flash drive, or a device in other storage forms.

[0196] In some embodiments, the embodiments of the present application provide a computer program product, which, when executed on a computer, enables the computer to implement the pancreatic islet function assessment method as described in the above-mentioned terminal or assessment platform.

[0197] 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 this 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.

[0198] The technical features of the above embodiments may be arbitrarily combined. 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.

[0199] 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 pancreatic islet function assessment system, characterized in that: include: Evaluation platform, as well as the web and / or program side of the terminal; The Web end and / or program end of the terminal obtains patient data and sends the patient data to the evaluation platform; wherein the patient data includes: basic information, test data related to pancreatic islet function and past medical history, the test data related to pancreatic islet function includes test data corresponding to multiple time points, when the Web end obtains the patient data, multiple information in the patient data is collected at one time through one page, and when the program end obtains the patient data, the basic information, the test data related to pancreatic islet function and the past medical history in the patient data are collected step by step through multiple pages; The evaluation platform calculates the islet function evaluation result based on the patient data and a preset discriminant evaluation model. The preset discriminant evaluation model includes: a standard model and a simplified model. When the patient data is complete, the preset discriminant evaluation model is the standard model. When the patient data is incomplete, the preset discriminant evaluation model is the simplified model. The complete patient data refers to the absence of missing test data corresponding to a certain time point. The simplified model includes multiple simplified models, and different simplified models correspond to different time points of missing test data. The evaluation platform sends the pancreatic islet function evaluation result to the Web terminal and / or program terminal of the terminal; The web terminal and / or program terminal of the terminal displays the pancreatic islet function assessment result in a result display page.

2. The system according to claim 1, characterized in that The test data related to pancreatic islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood glucose, insulin and / or C-peptide, and the basic information includes: at least one of: gender, height, weight, and date of birth; The evaluation platform calculates the islet function evaluation result based on the patient data and a preset discrimination evaluation model, including: The evaluation platform selects a corresponding preset discriminant evaluation model based on the patient data; The evaluation platform inputs each indicator in the patient data into the preset discrimination evaluation model to calculate the pancreatic islet function evaluation result.

3. The system according to claim 2, characterized in that The islet function assessment results include: a standardized islet function index calculated based on insulin and / or C-peptide; The result display page displays at least one of the following information: Indicator graph of normalized islet function index calculated based on insulin and / or C-peptide; The indication information of whether the standardized index of pancreatic islet function is at an average level, the indication information is used to indicate being below the average level, at the average level or above the average level.

4. The system according to claim 3, characterized in that The pancreatic islet function assessment result also includes: blood sugar, insulin and / or C-peptide detection data corresponding to multiple time points, and the basic information; The web terminal and / or the program terminal of the terminal also displays at least one of the following information in the result display page: Graphs of blood glucose, insulin and / or C-peptide corresponding to multiple time points; A table of blood glucose, insulin and / or C-peptide corresponding to the multiple time points; The basic information.

5. The system according to claim 3 or 4, characterized in that: The result display page includes a download control; The Web end and / or the program end of the terminal generates a test result report based on the pancreatic islet function assessment result displayed in the result display page in response to receiving a trigger operation for the download control; The Web end and / or program end of the terminal downloads the detection result report to the local.

6. The system according to any one of claims 1 to 4, characterized in that: The web terminal and / or program terminal of the terminal obtains the patient data and sends the patient data to the evaluation platform, including: The web terminal and / or the program terminal of the terminal displays a data collection page, wherein the data collection page includes an input area for the basic information, an input area for the test data related to the pancreatic islet function, and an input area for the past medical history; The Web end and / or program end of the terminal obtains the patient data in response to the received input operation, and sends the patient data to the evaluation platform.

7. The system according to claim 6, characterized in that The program end of the terminal obtains patient data and sends the patient data to the evaluation platform, including: The program end of the terminal displays a first acquisition page, wherein the first acquisition page includes an input area for the basic information and a first confirmation control; The program end of the terminal acquires the basic information in response to the received first input operation; In response to receiving a trigger operation for the first confirmation control, the program end of the terminal switches to display a second acquisition page, wherein the second acquisition page includes an input area for the test data related to the pancreatic islet function and a second confirmation control; The program end of the terminal obtains the detection data related to the pancreatic islet function in response to the received second input operation; In response to receiving a trigger operation for the second confirmation control, the program end of the terminal switches to display a third collection page, wherein the third collection page includes an input area for the past medical history and a third confirmation control; In response to receiving a trigger operation for the third confirmation control, the program end of the terminal obtains the past medical history and sends the basic information, the test data related to the pancreatic islet function and the past medical history to the evaluation platform.

8. The system according to claim 7, characterized in that The second acquisition page also includes: a first return control; the system also includes: In response to receiving a trigger operation for the first return control, the program end of the terminal switches to displaying the first acquisition page; The third acquisition page also includes: a second return control; the system also includes: In response to receiving a trigger operation for the second return control, the program end of the terminal switches to displaying the second acquisition page.

9. The system according to claim 3 or 4, characterized in that: The system further comprises: the evaluation platform stores the islet function evaluation result and the evaluation time in historical data in correspondence; In response to receiving a viewing operation for historical data, the Web end and / or program end of the terminal requests the historical data from the evaluation platform, and after obtaining the historical data sent by the evaluation platform, displays a historical data display page, wherein the historical data display page includes: viewing controls for different evaluation times in history and the pancreatic islet function evaluation results corresponding to each evaluation time, wherein the viewing controls are used to trigger the display of the corresponding pancreatic islet function evaluation results; The historical data display page also includes: a screening information input area; The web terminal and / or the program terminal of the terminal obtains the screening information in response to receiving the input operation for the screening information input area, and displays a screening result page, wherein the screening result page includes a target evaluation time corresponding to the screening information and a viewing control for the pancreatic islet function evaluation result corresponding to the target evaluation time; Wherein, the screening information includes: evaluation time and / or patient name.

10. A method for evaluating pancreatic islet function, characterized in that: include: Acquire patient data; wherein the patient data includes: basic information, test data related to pancreatic islet function and past medical history; the patient data is used to determine the corresponding preset discrimination and evaluation model, and in combination with the preset discrimination and evaluation model, calculate the pancreatic islet function evaluation result, the test data related to pancreatic islet function includes test data corresponding to multiple time points, the preset discrimination and evaluation model includes: a standard model and a simplified model, when the patient data is complete, the preset discrimination and evaluation model is the standard model, when the patient data is incomplete, the preset discrimination and evaluation model is the simplified model, the patient data is complete means that the test data corresponding to a certain time point is not missing, the simplified model includes multiple, different simplified models correspond to different time points based on the missing test data, the patient data is collected through the Web end and / or the program end of the terminal, when the Web end obtains the patient data, multiple information in the patient data is collected at one time through one page, when the program end obtains the patient data, the basic information in the patient data, the test data related to pancreatic islet function and the past medical history are collected step by step through multiple pages; The pancreatic islet function assessment result is output.

11. The method according to claim 10, characterized in that The test data related to pancreatic islet function includes: glycosylated hemoglobin and multiple test results based on OGTT, wherein the multiple test results based on OGTT include: blood glucose, insulin and / or C-peptide, and the basic information includes: at least one of: gender, height, weight, and date of birth; The islet function assessment results include: a standardized islet function index calculated based on insulin and / or C-peptide; Outputting the pancreatic islet function assessment result includes displaying at least one of the following information on a result display page: Indicator graph of normalized islet function index calculated based on insulin and / or C-peptide; The indication information of whether the standardized index of pancreatic islet function is at an average level, the indication information is used to indicate being below the average level, at the average level or above the average level.

12. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and when the computer program is executed by a computing device, the computing device implements the method according to any one of claims 10 or 11.

Images