Cognitive function evaluation method, device, equipment, medium and product

Abstract

The invention discloses a cognitive function evaluation method and device, equipment, a medium and a product, and relates to the technical field of computers.The method comprises the steps that various forms of questions in cognitive tests are classified, and a question set corresponding to each cognitive function category is obtained; determining the importance of each question in each form of cognitive test according to the data set; the data set comprises the score of each question when various forms of cognitive tests are respectively performed on each subject; determining an optimal question set corresponding to the cognitive function category according to the importance of each question in a question set corresponding to the cognitive function category; testing the testee according to the preferable question set corresponding to each cognitive function category to obtain a score of each question in the test question set by the testee; and obtaining an evaluation result of the cognitive function of the testee according to the score of each question in the test question set by the testee. According to the method and the device, the cognitive function can be evaluated conveniently and quickly.

Description

Technical Field

[0001] The present application relates to the field of computer technology, and in particular to a cognitive function assessment method, device, equipment, medium and product. Background Art

[0002] Currently, the cognitive function assessment tools used worldwide mainly rely on cognitive scales, of which there are many types and most originated in Europe and America. The original languages ​​used are non-native languages, and translated versions are often required for verification. In addition, previous scale assessments were mostly paper versions, and most of them were difficult to carry, making it impossible to conveniently assess cognitive function.

[0003] Currently, the most commonly used screening scales in clinical practice are still the paper-based Mini-Mental State Examination (MMSE) and the Montreal Cognitive Assessment (MoCA). Clinically, these two scales are often used in combination for screening, but these two scales take about 20-30 minutes.

[0004] In summary, a convenient and rapid method for assessing cognitive function is needed. Summary of the invention

[0005] The purpose of this application is to provide a cognitive function assessment method, device, equipment, medium and product, which can conveniently and quickly assess cognitive function.

[0006] To achieve the above objectives, this application provides the following solutions:

[0007] In a first aspect, the present application provides a method for evaluating cognitive function, comprising:

[0008] Acquire a data set, wherein the data set includes scores of each question when each subject is subjected to a plurality of forms of cognitive tests; each form of cognitive test includes a plurality of questions; and the subjects include people with cognitive impairment and normal people;

[0009] Classify the questions in various forms of cognitive tests to obtain a set of questions corresponding to each cognitive function category;

[0010] determining the importance of each question in each form of cognitive test based on the data set;

[0011] For any cognitive function category, determining a preferred set of questions corresponding to the cognitive function category according to the importance of each question in the set of questions corresponding to the cognitive function category;

[0012] Testing the test subject according to the test question set to obtain the test subject's score for each question in the test question set; the test question set includes a set of preferred questions corresponding to each cognitive function category;

[0013] The evaluation result of the tester's cognitive function is obtained according to the tester's score for each question in the test question set.

[0014] Optionally, a variety of cognitive tests, including:

[0015] Mini-Mental State Examination, Montreal Cognitive Assessment, Clinical Dementia Rating Scale, Digit Symbol Transfer Test, Digit Span, Rey-Osterrieth Complex Figure Test, Line Drawing Test, Stroop Color-Word Test, Verbal Fluency, Clock Drawing Test, Digit Symbol Transfer Test, Rey Auditory Verbal Learning Test, and Boston Naming Test.

[0016] Optionally, determining the importance of each question in each form of cognitive test according to the data set specifically includes:

[0017] Perform variance analysis on the data set to obtain the F value for each question;

[0018] Determine the F value of the question to determine the importance of the question.

[0019] Optionally, determining a preferred set of questions corresponding to the cognitive function category according to the importance of each question in the set of questions corresponding to the cognitive function category specifically includes:

[0020] Using a k-best algorithm, sorting each question in the question set corresponding to the cognitive function category according to the importance of each question in the question set corresponding to the cognitive function category to obtain a sorted set;

[0021] The first M questions in the sorted set are selected to form a preferred question set corresponding to the cognitive function category.

[0022] Optionally, cognitive function categories include:

[0023] Attention function, executive function, language function, visual-spatial function, orientation function and memory function.

[0024] Optionally, the evaluation result of the cognitive function of the test subject is obtained according to the test subject's score for each question in the test question set, specifically including:

[0025] According to the formula Get the score of the tester's cognitive function, where y represents the score of the tester's cognitive function, x1 represents the score of the first question in the test question set, W1 represents the weight of x1, x2 represents the score of the second question in the test question set, W2 represents the weight of x2, and x n represents the score of the nth question in the test question set, and Wn represents x n , n is the total number of questions in the test question set, and ln() represents the logarithmic function with the constant e as the base.

[0026] The evaluation result of the tester's cognitive function is obtained according to the tester's cognitive function score.

[0027] In a second aspect, the present application provides a cognitive function assessment device, comprising:

[0028] An acquisition module is used to acquire a data set, wherein the data set includes scores of each question when each subject is subjected to a plurality of forms of cognitive tests; each form of cognitive test includes a plurality of questions; and the subjects include people with cognitive impairment and normal people;

[0029] A classification module is used to classify questions in various forms of cognitive tests to obtain a set of questions corresponding to each cognitive function category;

[0030] An importance calculation module, used to determine the importance of each question in each form of cognitive test based on the data set;

[0031] A screening module, for determining, for any cognitive function category, a preferred set of questions corresponding to the cognitive function category according to the importance of each question in the set of questions corresponding to the cognitive function category;

[0032] A test module, used to test the test subject according to a test question set, and obtain the test subject's score for each question in the test question set; the test question set includes a set of preferred questions corresponding to each cognitive function category;

[0033] The scoring module is used to obtain the evaluation result of the tester's cognitive function according to the tester's score for each question in the test question set.

[0034] In a third aspect, the present application provides a computer device, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement any one of the cognitive function assessment methods described above.

[0035] In a fourth aspect, the present application provides a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements any one of the cognitive function assessment methods described above.

[0036] In a fifth aspect, the present application provides a computer program product, including a computer program, which, when executed by a processor, implements any of the cognitive function assessment methods described above.

[0037] According to the specific embodiments provided in this application, this application has the following technical effects:

[0038] The present application provides a cognitive function assessment method, device, equipment, medium and product. The present application determines the importance of each question in various forms of cognitive tests according to a data set; determines a preferred question set corresponding to a cognitive function category according to the importance of each question in a question set corresponding to a cognitive function category, screens the questions of various forms of cognitive tests, reduces the number of questions, and achieves rapid assessment of cognitive function. No paper version is required during measurement, thereby achieving convenient assessment of cognitive function. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments will be 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.

[0040] Figure 1 This is an application environment diagram of a cognitive function assessment method in one embodiment of the present application;

[0041] Figure 2 A flowchart of a cognitive function assessment method provided in one embodiment of the present application;

[0042] Figure 3 A flowchart of a cognitive function assessment method provided in one embodiment of the present application;

[0043] Figure 4 A schematic diagram of the structure of a computer device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0044] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0045] In order to make the above-mentioned objects, features and advantages of the present application more obvious and easy to understand, the present application is further described in detail below with reference to the accompanying drawings and specific implementation methods.

[0046] The cognitive function assessment method provided in the embodiments of the present application can be applied to Figure 1 In the application environment shown. Among them, the terminal 102 communicates with the server 104 through the network. The data storage system can store the data that the server 104 needs to process. The data storage system can be set up separately, integrated on the server 104, or placed on the cloud or other servers. The terminal 102 can send a data set to the server 104. After the server 104 receives the data set, for the data set, the server 104 obtains the data set, the data set includes the score of each question when each subject is subjected to various forms of cognitive tests; each form of cognitive test includes multiple questions; the subjects include people with cognitive impairment and normal people; the questions in the various forms of cognitive tests are classified to obtain a set of questions corresponding to each cognitive function category; the importance of each question in each form of cognitive test is determined according to the data set; for any cognitive function category, the preferred question set corresponding to the cognitive function category is determined according to the importance of each question in the question set corresponding to the cognitive function category; the tester is tested according to the test question set to obtain the tester's score for each question in the test question set; the test question set includes a preferred question set corresponding to each cognitive function category; the tester's cognitive function evaluation result is obtained according to the test question set. The server 104 may feed back the obtained cognitive function score of the tester to the terminal 102. In addition, in some embodiments, the cognitive function evaluation method may also be implemented by the server 104 or the terminal 102 alone, such as the terminal 102 may directly perform cognitive function evaluation on the data set, or the server 104 may obtain the data set from the data storage system and perform cognitive function evaluation on the data set.

[0047] The terminal 102 may be, but is not limited to, various desktop computers, laptop computers, smart phones, tablet computers, IoT devices, and portable wearable devices. The IoT devices may be smart speakers, smart TVs, smart air conditioners, smart vehicle-mounted devices, etc. The portable wearable devices may be smart watches, smart bracelets, head-mounted devices, etc. The server 104 may be implemented as an independent server or a server cluster consisting of multiple servers, or may be a cloud server.

[0048] In an exemplary embodiment, Figure 2 As shown, a cognitive function assessment method is provided, which is executed by a computer device, and can be executed by a computer device such as a terminal or a server alone, or by a terminal and a server together. In the embodiment of the present application, the method is applied to Figure 1 The server 104 in FIG. 1 is used as an example to illustrate the method, which includes the following steps, wherein:

[0049] Step 201: Obtain a data set, the data set including the scores of each question when each subject is subjected to various forms of cognitive tests; each form of cognitive test includes multiple questions; the subjects include people with cognitive impairment and normal people. The subject data comes from cohorts in many different regions of China, including people in southern and northern China, covering a wide range. The questions are in Chinese and based on Chinese culture, with localized characteristics to reduce cultural background differences.

[0050] Step 202: Classify the questions in various forms of cognitive tests to obtain a set of questions corresponding to each cognitive function category.

[0051] Step 203: Determine the importance of each question in each form of cognitive test according to the data set.

[0052] Step 204: For any cognitive function category, determine a preferred topic set corresponding to the cognitive function category according to the importance of each topic in the topic set corresponding to the cognitive function category.

[0053] Step 205: Test the test subject according to the test question set to obtain the test subject's score for each question in the test question set; the test question set includes a preferred question set corresponding to each cognitive function category.

[0054] Step 206: Obtain the tester's cognitive function assessment result based on the tester's score for each question in the test question set. The assessment result is cognitive dysfunction and normal cognitive function.

[0055] In an exemplary embodiment, various forms of cognitive tests include:

[0056] Mini-Mental State Examination, Montreal Cognitive Assessment, Clinical Dementia Rating (CDR), Digit Symbol Transfer Test, Digit Span, Rey-Osterrieth Complex Figure Test, Line Drawing Test, Stroop Color-Word Test, Verbal Fluency, Clock Drawing Test, Digit Symbol Transfer Test, Rey Auditory Verbal Learning Test and Boston Naming Test.

[0057] In an exemplary embodiment, determining the importance of each question in each form of cognitive test according to the data set specifically includes:

[0058] A variance analysis was performed on the data set to obtain the F value for each question.

[0059] Determine the F value of the question to determine the importance of the question.

[0060] In an exemplary embodiment, determining a preferred set of topics corresponding to the cognitive function category according to the importance of each topic in the set of topics corresponding to the cognitive function category specifically includes:

[0061] Using a k-best algorithm, sorting each question in the question set corresponding to the cognitive function category according to the importance of each question in the question set corresponding to the cognitive function category to obtain a sorted set;

[0062] The first M questions in the sorted set are selected to form a preferred question set corresponding to the cognitive function category.

[0063] In an exemplary embodiment, cognitive function categories include:

[0064] Attention function, executive function, language function, visual-spatial function, orientation function and memory function.

[0065] In an exemplary embodiment, the evaluation result of the cognitive function of the tester is obtained according to the tester's score for each question in the test question set, specifically including:

[0066] According to the formula Get the score of the tester's cognitive function, where y represents the score of the tester's cognitive function, x1 represents the score of the first question in the test question set, W1 represents the weight of x1, x2 represents the score of the second question in the test question set, W2 represents the weight of x2, and x n represents the score of the nth question in the test question set, and Wn represents x n , n is the total number of questions in the test question set, and ln() represents the logarithmic function with the constant e as the base.

[0067] The evaluation result of the cognitive function of the tester is obtained according to the score of the cognitive function of the tester. Specifically, if the score is greater than the threshold, the cognitive function is normal, and if the score is less than the threshold, the cognitive function is impaired.

[0068] This application has the following technical effects:

[0069] 1. Easy to operate and promote, and to establish relatively uniform standards for screening and testing, which can evaluate the cognitive status of the subjects, so as to assist clinicians in better understanding the cognitive status of the tested persons.

[0070] 2. Currently, the most widely used screening scales in the world are MMSE and MoCA. According to a cross-sectional survey in China, there are major problems with the scoring standards of MMSE and MoCA for people with different educational levels, which poses great difficulties in clinical evaluation and screening. This application develops a tool by collecting data from multiple Chinese population cohorts. The threshold of this tool is fixed, and its sensitivity and specificity are better than MMSE and MOCA in the Chinese population.

[0071] 3. MMSE has more language function assessments, up to 9 points (out of 30 points), and lacks executive function. In addition, studies have found that MMSE has a significant ceiling effect and is more suitable for screening people with dementia. This application generates a set of test questions based on multiple test forms in multiple cognitive domains, covering a comprehensive range of cognitive domains, and can simultaneously identify mild cognitive impairment and dementia, avoiding the ceiling effect.

[0072] 4. MoCA executive function involves less, only 2 points (total score 30 points). In terms of language function assessment, the naming pictures selected by MoCA have always been questioned by some experts and scholars due to cultural background differences. This application selects a large number of test questions that are in line with the Chinese cultural background, which is more suitable for the Chinese population. By distributing test questions more evenly in various cognitive domains, the comprehensiveness of the test is guaranteed.

[0073] 4. Other screening scales include the cognitive abilities screening instrument (CASI), which evolved from the MMSE and has different versions, but is less popular than the MMSE and MoCA. Scales originating from abroad lack domestic reliability and validity testing. This application was tested through longitudinal follow-up data from different domestic cohort studies, confirming good reliability and validity.

[0074] 5. The Memory and Executive Screening (MES) is a Chinese scale with good reliability and validity, but the screening data population is mainly for subjects with memory impairment, and the screening effect on other cognitive disorders has not been tested. This application generates a test question set through test questions in different cognitive domains, ensuring the examination of multiple cognitive domains, and can screen people with cognitive impairment affected by different cognitive domains.

[0075] 6. The self-assessment screening scale includes the Cognitive Function Self-Assessment Scale (Ascertaindementia 8, AD8), and the Informed Questionnaire for Dementia includes the Informed Questionnaire on Cognitive Decline in the Elderly (IQCODE) and the Alzheimer's Disease Questionnaire. These scales require the informed person of the subject to make judgments, and have a strong correlation with the subjectivity of the informed person or the subject himself. The reliability of the self-assessment scale is limited when the subject has cognitive impairment. At present, these test scales still lack unified judgment standards, and most of them require doctors to make their own judgments based on experience. All test questions in this application directly test the subject himself, and the questions are evaluated and objectively scored by others, which reduces subjectivity, and there are currently clear thresholds for screening cognitive dysfunction.

[0076] 7. It can comprehensively evaluate cognitive functions, including attention function, executive function, language function, visual-spatial function, orientation function and memory function, and relatively accurately identify different cognitive domain damages of cognitive impairment. This application can be completed in a relatively short time (8-10 minutes), which can achieve rapid screening and early warning of abnormal cognitive ability.

[0077] like Figure 3 As shown, the present application also provides a more specific embodiment to introduce the cognitive function assessment method provided in the above embodiment in detail:

[0078] Data collection: A database related to cognitive impairment diseases was established based on the enrolled population. The enrolled population included people with cognitive impairment (Alzheimer's disease and vascular cognitive impairment) and community controls (normal people). The database related to cognitive impairment diseases includes the commonly used MMSE, MoCA, CDR, digit symbol conversion test, digit span, Rey-Osterrieth complex figure test, line connection test, Stroop color word test, verbal fluency, clock drawing test, digit symbol conversion test, Rey auditory word learning test and Boston naming test. The enrolled population completed the questions in each cognitive test, each question was a test item, and the test information of all enrolled subjects was built into a database related to cognitive impairment diseases. A total of 1,032 subjects were enrolled in this test, of which 41.2% were people with cognitive impairment. All enrolled subjects completed multiple cognitive tests and had more cognitive results.

[0079] Data integration: An evaluation test pool was generated based on the test content of the data collection part, that is, all the above scales. There are 153 items in this test pool. The scoring features were screened through machine learning methods (k-best), and finally 9 questions were generated based on different cognitive domains (including memory function, executive function, language function, visual-spatial function, orientation function, and judgment).

[0080] Build method:

[0081] Step 1. Data preparation: The 153 items were divided into 6 categories. The number of items in each category was different. The 153 items are shown in Table 1.

[0082] Table 1

[0083]

[0084]

[0085]

[0086]

[0087]

[0088] Step 2. Define the evaluation criteria: Select the F value of Analysis of Variance (ANOVA) as the evaluation criterion to assess the importance of each item.

[0089] Step 3. Intra-category feature selection: For each category, use the k-best method to evaluate their performance in the overall dataset based on the importance solved in step 2, select 1-2 most representative items, and use k-best to select cross-category items. Before using the k-best method, a constraint should be set to ensure that at least 1 item is selected for each category, and finally 9 items are selected for all categories.

[0090] Step 4. Output results: Finally, 9 items are output, 1-2 in each category. These items are the most representative items selected according to the k-best method and evaluation criteria. The results are shown in Tables 2 and 3.

[0091] Model construction: Taking the presence or absence of cognitive impairment as the outcome variable, we included the questions that met the requirements and performed logistic regression. The logistic regression formula is as follows:

[0092]

[0093] Among them, x1 is to inquire whether there is cognitive decline, x2 is orientation - asking about the city / year / date, x3 is continuous 100-7 calculation (5 times), x4 is money conversion calculation questions, x5 is number repetition, x6 is clock drawing experiment (3 points), x7 is similarity and difference judgment, x8 is short-term memory, and x9 is picture naming.

[0094] Evaluation: New participants will complete the corresponding tests in Table 2, and generate corresponding scores y according to the weights. The specific scoring methods for each item are shown in Table 3. The higher the score in this test, the better the cognitive performance, which can provide a reference for clinicians to evaluate the cognitive status of the participants.

[0095] Table 2 Weights of each test item

[0096]

[0097]

[0098] Table 3 Scoring of each test item

[0099]

[0100] Based on the same inventive concept, the embodiment of the present application also provides a cognitive function assessment device for implementing the cognitive function assessment method involved above. The implementation scheme for solving the problem provided by the device is similar to the implementation scheme recorded in the above method, so the specific limitations in one or more cognitive function assessment device embodiments provided below can refer to the limitations of the cognitive function assessment method above, and will not be repeated here.

[0101] In an exemplary embodiment, a cognitive function assessment device is provided, comprising:

[0102] The acquisition module is used to acquire a data set, wherein the data set includes the score of each question when each subject is subjected to multiple forms of cognitive tests; each form of cognitive test includes multiple questions; and the subjects include people with cognitive impairment and normal people.

[0103] The classification module is used to classify questions in various forms of cognitive tests to obtain a set of questions corresponding to each cognitive function category.

[0104] The importance calculation module is used to determine the importance of each question in each form of cognitive test according to the data set.

[0105] The screening module is used to determine, for any cognitive function category, a preferred topic set corresponding to the cognitive function category according to the importance of each topic in the topic set corresponding to the cognitive function category.

[0106] The test module is used to test the test subject according to the test question set to obtain the test subject's score for each question in the test question set; the test question set includes a preferred question set corresponding to each cognitive function category.

[0107] The scoring module is used to obtain the evaluation result of the tester's cognitive function according to the tester's score for each question in the test question set.

[0108] In an exemplary embodiment, a computer device is provided. The computer device may be a server or a terminal. The internal structure diagram thereof may be as follows: Figure 4 As shown. The computer device includes a processor, a memory, an input / output interface (Input / Output, referred to as I / O) and a communication interface. Among them, the processor, the memory and the input / output interface are connected through a system bus, and the communication interface is connected to the system bus through the input / output interface. 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, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store cognitive function assessment data. The input / output interface of the computer device is used to exchange information between the processor and an external device. The communication interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a cognitive function assessment method is implemented.

[0109] Those skilled in the art will understand that Figure 4 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. In an exemplary embodiment, a computer device is provided, including a memory and a processor, wherein a computer program is stored in the memory, and the processor implements the above-mentioned method embodiments when executing the computer program.

[0110] In an exemplary embodiment, a computer-readable storage medium is provided, storing a computer program, and when the computer program is executed by a processor, the above-mentioned method embodiments are implemented.

[0111] In an exemplary embodiment, a computer program product is provided, including a computer program, and when the computer program is executed by a processor, the above-mentioned method embodiments are implemented.

[0112] 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, and the collection, use and processing of relevant data must comply with relevant regulations.

[0113] In this application, all actions to obtain signals, information or data are carried out in compliance with the relevant data protection laws and policies of the country where they are located and with the authorization given by the owner of the corresponding device.

[0114] Those of ordinary skill 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), magnetic 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. By way of illustration and not limitation, RAM may be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0115] The database involved in each embodiment provided in this application may include at least one of a relational database and a non-relational database. The non-relational database may include a distributed database based on blockchain, etc., but is not limited thereto. 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 is not limited thereto.

[0116] 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.

[0117] This article uses specific examples to illustrate the principles and implementation methods of this application. The description of the above embodiments is only used to help understand the method and core ideas of this application. At the same time, for those skilled in the art, according to the ideas of this application, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting this application.

Claims

1. A method for evaluating cognitive function, characterized in that: The cognitive function assessment method comprises: Acquire a data set, wherein the data set includes scores of each question when each subject is subjected to a plurality of forms of cognitive tests; each form of cognitive test includes a plurality of questions; and the subjects include people with cognitive impairment and normal people; Classify the questions in various forms of cognitive tests to obtain a set of questions corresponding to each cognitive function category; determining the importance of each question in each form of cognitive test based on the data set; For any cognitive function category, determining a preferred set of questions corresponding to the cognitive function category according to the importance of each question in the set of questions corresponding to the cognitive function category; Testing the test subject according to the test question set to obtain the test subject's score for each question in the test question set; the test question set includes a set of preferred questions corresponding to each cognitive function category; The evaluation result of the tester's cognitive function is obtained according to the tester's score for each question in the test question set.

2. The cognitive function assessment method according to claim 1, characterized in that: Various forms of cognitive testing, including: Mini-Mental State Examination, Montreal Cognitive Assessment, Clinical Dementia Rating Scale, Digit Symbol Transfer Test, Digit Span, Rey-Osterrieth Complex Figure Test, Line Drawing Test, Stroop Color-Word Test, Verbal Fluency, Clock Drawing Test, Digit Symbol Transfer Test, Rey Auditory Verbal Learning Test, and Boston Naming Test.

3. The cognitive function assessment method according to claim 1, characterized in that: The importance of each question in each form of cognitive test is determined based on the data set, including: Perform variance analysis on the data set to obtain the F value for each question; Determine the F value of the question to determine the importance of the question.

4. The cognitive function assessment method according to claim 1, characterized in that: Determining a preferred set of questions corresponding to the cognitive function category according to the importance of each question in the set of questions corresponding to the cognitive function category specifically includes: Using a k-best algorithm, sorting each question in the question set corresponding to the cognitive function category according to the importance of each question in the question set corresponding to the cognitive function category to obtain a sorted set; The first M questions in the sorted set are selected to form a preferred question set corresponding to the cognitive function category.

5. The cognitive function assessment method according to claim 1, characterized in that: Cognitive function categories include: Attention function, executive function, language function, visual-spatial function, orientation function and memory function.

6. The cognitive function assessment method according to claim 1, characterized in that: The tester's cognitive function assessment results are obtained based on the tester's score for each question in the test question set, including: According to the formula Get the cognitive function score of the tester, where y represents the cognitive function score of the tester, x1 represents the score of the first question in the test question set, W1 represents the weight of x1, x2 represents the score of the second question in the test question set, W2 represents the weight of x2, and x n represents the score of the nth question in the test question set, and Wn represents x n The weight of n is the total number of questions in the test question set, and ln() represents the logarithmic function with the constant e as the base; The evaluation result of the tester's cognitive function is obtained according to the tester's cognitive function score.

7. A cognitive function assessment device, characterized in that: The cognitive function assessment device comprises: An acquisition module is used to acquire a data set, wherein the data set includes scores of each question when each subject is subjected to a plurality of forms of cognitive tests; each form of cognitive test includes a plurality of questions; and the subjects include people with cognitive impairment and normal people; A classification module is used to classify questions in various forms of cognitive tests to obtain a set of questions corresponding to each cognitive function category; An importance calculation module, used to determine the importance of each question in each form of cognitive test based on the data set; A screening module, for determining, for any cognitive function category, a preferred set of questions corresponding to the cognitive function category according to the importance of each question in the set of questions corresponding to the cognitive function category; A test module, used to test the test subject according to a test question set, and obtain the test subject's score for each question in the test question set; the test question set includes a set of preferred questions corresponding to each cognitive function category; The scoring module is used to obtain the evaluation result of the tester's cognitive function according to the tester's score for each question in the test question set.

8. A computer device comprising: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the cognitive function assessment method according to any one of claims 1 to 6.

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 cognitive function assessment method according to any one of claims 1 to 6 is implemented.

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

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