User climacteric physical and psychological health assessment and science popularization system

Abstract

The invention relates to the technical field of health assessment, and discloses a user climacteric physical and psychological health assessment and science popularization system, which comprises a science popularization plot and dynamic assessment process module, a multi-dimensional assessment engine and a general knowledge and personalized knowledge content push engine which are in closed-loop communication connection in sequence. According to the application, the science popularization garden and dynamic evaluation process module not only ensures data integrity, but also adapts to real-time updating requirements of medical guidelines; the multi-dimensional assessment engine fuses the multi-dimensional data and processes the medical scale, so that more comprehensive and accurate health assessment is realized; a general knowledge and personalized knowledge content pushing engine constructs a dynamic user portrait based on multi-dimensional data and evaluation results, and realizes accurate matching and interpretable pushing of health knowledge through a tag system and a four-dimensional evaluation system; the flexibility and the operation efficiency of the evaluation system and the acceptability of the user to the health management content are improved, and a finer and more efficient physical and psychological health doctor-patient management scheme is provided for climacteric people.

Description

Technical Field

[0001] The present application relates to the field of health assessment technology, and specifically to a user menopausal physical and mental health assessment and popular science system. Background Art

[0002] In the field of health assessment technology, existing technologies targeting menopause mainly implement health assessment and knowledge dissemination through static questionnaires, general knowledge base push, and one-way evaluation processes. However, there are significant technical bottlenecks: Single-dimensional assessment: Traditional static questionnaires focus solely on typical menopausal symptoms (such as hot flashes and night sweats), completely ignoring the impact of social determinants such as region, occupation, and educational background on health. This makes it impossible to construct a comprehensive health profile of users. For example, the cardiovascular health risks of users in high-altitude areas and the reproductive health needs of people in sedentary occupations are not included in the assessment system, resulting in results that deviate from their true health status.

[0003] Extensive content matching: General knowledge bases rely on a "symptom-keyword matching" mechanism, pushing a large amount of irrelevant content to users. For example, a user with a high score on "anxiety" might also receive cardiovascular health information instead of targeted psychological counseling resources, resulting in inefficient health management.

[0004] Rigid interaction processes: The existing assessment process is pre-set and fixed, unable to dynamically adjust the Q&A process based on individual user needs. It also doesn't support real-time updates to assessment content. For example, when a new "menopausal cognitive function assessment" item was added to the medical guidelines, the system needed to be redeveloped to deploy the new questionnaire. Furthermore, data version consistency couldn't be guaranteed if users exited midway, impacting the reliability of the assessment conclusions.

[0005] The user experience is suboptimal: Professional medical scales are directly transplanted into the assessment system without popularizing complex medical terms, making it difficult for users without a medical background to understand. There is also a lack of visual interactive controls (such as progress bars and one-click jumps), making the filling process cumbersome and the user completion rate low.

[0006] In summary, due to the limitations of evaluation dimensions, inefficient content matching, insufficient process flexibility and defects in interactive experience, existing technologies are unable to meet the refined and personalized health management needs of menopausal users. There is an urgent need for a new technical solution for the assessment of users' physical and mental health during menopause. Summary of the Invention

[0007] The purpose of this application is to provide a user menopausal physical and mental health assessment and popular science system to solve the technical problems raised in the above background technology.

[0008] To achieve the above objectives, the present application discloses the following technical solutions: a user menopausal physical and mental health assessment and popular science system, characterized by comprising a popular science garden and a dynamic assessment process module, a multi-dimensional assessment engine, and a general knowledge and personalized knowledge content push engine connected in a closed-loop communication sequence; The science popularization garden and dynamic evaluation process module are used by the operator to set up an introduction and evaluation process. The introduction is the epidemiological status of the population, and the evaluation process is used to collect multidimensional data. The multidimensional data includes basic population information, epidemiological characteristics, physiological characteristics, psychological characteristics, pathological characteristics and risk stratification of high-risk groups; The multidimensional assessment engine is used to transform the existing medical scale after integrating the multidimensional data, and to conduct menopausal physical and mental health assessment and popularization of the user based on the transformed medical scale to generate an assessment result; The general knowledge and personalized knowledge content push engine is used to build a user portrait based on the multidimensional data and the evaluation results, match a preset content portrait based on the user portrait, and push personalized knowledge content based on the matched content portrait.

[0009] Preferably, the establishment of the evaluation process includes: The existing collection questionnaires are used as the smallest unit, and the collection questionnaires are combined to obtain the evaluation process. The operator obtains the evaluation process under the comprehensive evaluation mode by combining the collection questionnaires through the background, and the user obtains the evaluation process under the self-selected evaluation mode by combining the collection questionnaires on his own.

[0010] As a preference: The basic demographic information includes age, region, occupation, education level, cognitive status and living habits; The physiological characteristics include past medical history, family history, reproductive system indicators and cardiovascular system indicators; The psychological characteristics include sleep quality assessment, anxiety score and depression tendency detection; The risk stratification of high-risk groups includes high-risk groups for osteoporosis, cardiovascular system risk stratification, and high-temperature groups.

[0011] Preferably, the modification of the medical scale includes: The scoring dimensions and extent of the streamlined medical scale; Use visual interactive controls; Break down professional medical issues into popular expressions and embed graphic and text explanations.

[0012] Preferably, the construction of the user portrait includes: Performing feature engineering processing on the fused multidimensional data to generate a first feature, where the first feature is used to characterize the original situation of the user; Performing semantic extraction on the evaluation result to generate a second feature, where the second feature is used to characterize the user's evaluation situation; A user profile is constructed based on the first feature and the second feature.

[0013] Preferably, the preset content portrait includes: The knowledge content is scored and marked based on the labeling system, content attributes, content timeliness and content quality, and the content portrait is preset based on the score and mark.

[0014] Preferably, the personalized knowledge content push based on the matched content portrait includes: Construct a four-dimensional evaluation system including portrait accuracy, content practicality, update timeliness and feature interpretability; The quality score of personalized knowledge content push is evaluated based on the four-dimensional evaluation system, and each push is based on the knowledge content corresponding to the maximum value of the quality score, and the knowledge content corresponds to the key physiological and psychological content of menopause.

[0015] Preferably, the dynamic assessment process module is further used to perform interruption records and questionnaire version verification, including: When the user re-enters the assessment after interruption, the backend version of the unanswered questionnaire will be automatically compared; If the versions are inconsistent, the user is prompted to re-evaluate. If the user does not re-evaluate, the evaluation conclusion and the questionnaire version are decoupled.

[0016] Preferably, the dynamic update of the user portrait includes a trigger update based on a time trigger rule or an event trigger rule; The trigger update based on the time trigger rule is: based on a preset evaluation period, automatically re-execute the generation of the first feature and the second feature to perform the trigger update; The trigger update based on the event trigger rule is: triggered by the user's repeated evaluation behavior, and the generation of the first feature and the second feature is re-executed to perform the trigger update.

[0017] Preferably, the characteristic interpretability of the four-dimensional evaluation system includes: The logical basis for displaying content push to users includes a description of the mapping relationship between the user profile and the content profile.

[0018] Beneficial effects: The user menopausal physical and mental health assessment and popular science system of this application significantly improves the scientific nature and user experience of menopausal health management through the collaboration of multiple modules: the dynamic assessment process module supports operators to flexibly organize comprehensive assessments or user-selected assessment modes, combined with interruption records and questionnaire version verification mechanisms, which not only ensures data integrity but also adapts to the real-time update needs of medical guidelines; the multidimensional assessment engine integrates three-dimensional data of basic population information, physiological and psychological characteristics, streamlines and popularizes medical scales, breaks through the limitations of single assessment dimensions and complex operations of existing technologies, and achieves more comprehensive and accurate health assessments; the personalized knowledge content push engine constructs dynamic user portraits based on multidimensional data and assessment results, and realizes accurate matching and explainable push of health knowledge through a label system and a four-dimensional evaluation system, solving the problem of extensive content matching in traditional general knowledge bases; each module improves the flexibility, operational efficiency and user acceptance of health management content of the assessment system through a data closed loop and dynamic feedback mechanism, effectively adapts to the dynamic expansion and personalized service needs in medical scenarios, and provides menopausal people with more refined and efficient physical and mental health management solutions. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the following briefly introduces the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are only some embodiments of the present application. For those skilled in the art, other drawings can be obtained based on these drawings without paying any creative work.

[0020] Figure 1 This is a structural block diagram of the user menopausal physical and mental health assessment and popular science system provided in an embodiment of the present application. DETAILED DESCRIPTION

[0021] The following is a clear and complete description of the technical solutions in the embodiments of this application. Obviously, the embodiments described are only part of the embodiments of this application, not all of them. Based on the embodiments of this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0022] In this document, the term "comprising" is intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus that includes a list of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising..." does not preclude the presence of additional identical elements in the process, method, article, or apparatus that includes the element.

[0023] This embodiment takes the menopausal women's health management scenario as an example to explain in detail the technical implementation and interaction logic of each module: This embodiment discloses Figure 1 A user menopausal physical and mental health assessment and popular science system shown includes a popular science garden and a dynamic assessment process module connected in a closed-loop communication, a multi-dimensional assessment engine, and a general knowledge and personalized knowledge content push engine; The Science Garden and Dynamic Assessment Process modules are used by operators to establish an introduction and assessment process. The introduction is about the epidemiological status of the population, and the assessment process is used to collect multidimensional data, including basic population information, epidemiological characteristics, physiological characteristics, psychological characteristics, pathological characteristics, and risk stratification of high-risk populations. The multidimensional assessment engine is used to transform the existing medical scale after integrating multidimensional data. Based on the transformed medical scale, the user's menopausal physical and mental health assessment and scientific knowledge are conducted to generate assessment results; The general knowledge and personalized knowledge content push engine is used to build user portraits based on multi-dimensional data and evaluation results, match preset content portraits based on user portraits, and push personalized knowledge content based on the matched content portraits.

[0024] In this embodiment, the system implements the following functions through a closed-loop link consisting of a dynamic evaluation process module, a multi-dimensional evaluation engine, and a personalized knowledge content push engine: The dynamic assessment process module serves as the data entry point. It generates a questionnaire sequence based on operator configuration or user selection to obtain the assessment process and collect three-dimensional data (basic demographic information, physiological characteristics, pathological characteristics, and psychological characteristics). The multi-dimensional assessment engine integrates medical dimensions and scales the data to generate assessment results with health reminders; The popular science section dynamically updates general knowledge about menopause; The personalized knowledge content push engine builds dynamic user portraits based on evaluation data, pushes accurate health knowledge after matching the content portraits, and optimizes the evaluation dimensions through user interaction data.

[0025] Specifically, the establishment of the evaluation process includes: The existing collection questionnaires are used as the smallest unit, and the collection questionnaires are combined to obtain the evaluation process. The operator obtains the evaluation process under the comprehensive evaluation mode by combining the collection questionnaires through the background, and the user obtains the evaluation process under the self-selected evaluation mode by combining the collection questionnaires on his own.

[0026] In this embodiment, the smallest unit is obtained through modular questionnaire design. In one specific application, the operator selects basic questionnaires from the backend questionnaire library, such as the demographic information collection form and the cardiovascular health self-assessment questionnaire, as the smallest unit, and combines them into a comprehensive assessment model that mandatory includes all dimension questionnaires. Alternatively, the user can select questionnaires of interest, such as only selecting the psychological state assessment, to form a self-selected assessment model. In a simple example, the operator configures a special occupational health assessment for women aged 45-55, combining the occupational information questionnaire, the reproductive system health questionnaire, and the sedentary population psychological assessment form to form a targeted process.

[0027] As a preferred implementation of this embodiment, the evaluation process is established using a hot publishing mechanism. The operator can add new questionnaires through the background without downtime and synchronize them to the front end in real time. The user can use the new questionnaire after refreshing the page.

[0028] Specifically: The basic demographic information includes age, region, occupation, education level, cognitive status and living habits; The physiological characteristics include past medical history, family history, reproductive system indicators and cardiovascular system indicators; The psychological characteristics include sleep quality assessment, anxiety score and depression tendency detection; The risk stratification of high-risk groups includes high-risk groups for osteoporosis, cardiovascular system risk stratification, and high-temperature groups.

[0029] Through the above, the use of multidimensional data overcomes the limitations of single-dimensional data evaluation and provides a more comprehensive data basis for the user's menopausal physical and mental health assessment; and combined with the establishment of the above-mentioned evaluation process, it provides a more accurate technical means for the collection of multidimensional data.

[0030] Specifically, the modification of the medical scale includes: The scoring dimensions and extent of the streamlined medical scale; Use visual interactive controls; Break down professional medical issues into popular expressions and embed graphic and text explanations.

[0031] In this embodiment, the streamlined dimensions can be to reduce the original 36 scoring items to 22 items, retain the dimensions that are strongly related to the core symptoms of menopause (such as vasomotor symptoms and psychological state), and shorten the evaluation time; the visual interactive controls used can be developed controls such as progress bars and one-key jump buttons, thereby reducing user operation costs.

[0032] As a preferred implementation method of this embodiment, when breaking down professional medical questions into popular expressions and embedding graphic and text explanations, based on user portraits and combined with existing medical knowledge graphs, some questionnaire questions with extremely high professional difficulty are broken down and remade to make them suitable for users without medical background to evaluate, and a large number of necessary explanations are added to enable users to deepen their understanding of the evaluation content.

[0033] It should be noted that the medical scale in this embodiment can be, but is not limited to, existing international and domestic scientific scales and questionnaires for medical auxiliary diagnosis and self-assessment, and can be tailored and integrated as needed based on the physiological and psychological focus assessment of menopausal users to reduce the difficulty for users to fill in the questionnaire.

[0034] Specifically, the construction of the user portrait includes: Performing feature engineering processing on the fused multidimensional data to generate a first feature, where the first feature is used to characterize the original situation of the user; Performing semantic extraction on the evaluation result to generate a second feature, where the second feature is used to characterize the user's evaluation situation; A user profile is constructed based on the first feature and the second feature.

[0035] In a simple example of this embodiment, using existing portrait technology, the user portrait construction process can be: First feature generation (raw data): Label "occupation = programmer" to generate labels such as "sedentary people" and "IT practitioners"; extract the "hot and humid climate" feature for "region = Guangzhou" and associate it with the diet therapy content of the Lingnan region.

[0036] Second feature generation (evaluation results): Perform NLP semantic analysis on the evaluation conclusion "Sleep quality score = 55 points (mild insomnia)" to extract the keywords "difficulty falling asleep" and "easy waking at night"; The cardiovascular self-assessment data were processed through the existing Z-score standardization and combined with the existing K-means clustering to generate the "cardiovascular moderate risk" label.

[0037] Dynamic update: After the user retests every quarter, the system automatically triggers a profile update. If it is found that the "anxiety score drops from 65 points to 50 points", the "anxiety tendency" label will be removed.

[0038] Through the above, the user portrait constructed by the first feature and the second feature provides a technical basis for matching content portraits, and provides a data basis for deepening the user's understanding of their own status.

[0039] Specifically, the preset content portrait includes: The knowledge content is scored and marked based on the labeling system, content attributes, content timeliness and content quality, and the content portrait is preset based on the score and mark.

[0040] In a simple example of this embodiment, based on the well-known experience in the field of menopausal insomnia conditioning, standard sleep management, Chinese medicine diet therapy and the latest corresponding labels in 2025, and a score of 4.8, based on the above labels and scores, the existing portrait technology is used to preset the content portrait.

[0041] Through the above, the preset content portrait provides a technical basis for personalized knowledge content push and provides a data basis for users to deepen their understanding of the push.

[0042] Specifically, the personalized knowledge content push based on the matched content portrait includes: Construct a four-dimensional evaluation system including portrait accuracy, content practicality, update timeliness and feature interpretability; The quality score of personalized knowledge content push is evaluated based on the four-dimensional evaluation system, and each push is based on the knowledge content corresponding to the maximum value of the quality score, and the knowledge content corresponds to the key physiological and psychological content of menopause.

[0043] In this embodiment, the specific construction and quantification method of the four-dimensional evaluation system is as follows: The portrait accuracy calculation formula is used to calculate the portrait accuracy. The portrait accuracy calculation formula is:

[0044] The number of label errors is the sum of the comparison of user retest data and the error labels reviewed by medical professionals. A label error is considered when the user's retest data differs within a short period of time (such as one day). A label error is also considered when the manual verification of labels by gynecologists during medical professional review is unreasonable. is the calculated portrait accuracy.

[0045] The content practicality calculation formula is used to calculate the content practicality. The content practicality calculation formula is:

[0046] The effectiveness of content is assessed based on existing medical standards, clinical guideline matching, and user behavior data. Suggested content that cites authoritative literature is considered a guideline match. The collection and completion rates of users for suggested content are calculated. A completion rate ≥ 70% and a collection rate ≥ 20% are considered highly practical. The calculated content utility.

[0047] The update timeliness calculation formula is used to calculate the update timeliness. The update timeliness calculation formula is:

[0048] Among them, monitor the version consistency of the content library and medical guidelines to ensure that the pushed content is the latest valid version; is the calculated update timeliness.

[0049] The feature interpretability calculation formula is used to calculate the feature interpretability, which is:

[0050] Among them, verify whether the push logic can be clearly presented to users through user surveys and interface interaction testing. Set up a "push reason" pop-up window on the content details page to display the mapping path of "user portrait label → content label" (for example, "because you have the 'anxiety high risk' label, match the content label 'psychological counseling'"); based on the number of satisfied users who "understand the reason for the content push", the total number of survey users is obtained based on the users who participated in the feedback; is the calculated feature interpretability.

[0051] The four-dimensional evaluation system calculates the quality score by weighted summation of portrait accuracy, content practicality, update timeliness and feature interpretability. When pushing content, the system filters content that matches the user portrait label from the content library and pushes it in descending order of quality score.

[0052] Through the above, the four-dimensional evaluation system improves the correlation between pushed content and user health status. The feature explainability design significantly reduces the usage threshold caused by information overload and enhances user trust. The content practicality evaluation is mandatory to match the guidelines to ensure that all pushed suggestions meet the latest medical standards, reduce the risk of misjudgment in health management, and ensure medical compliance.

[0053] Specifically, the dynamic assessment process module is also used to perform interruption records and questionnaire version verification, including: When the user re-enters the assessment after interruption, the backend version of the unanswered questionnaire will be automatically compared; If the versions are inconsistent, the user is prompted to re-evaluate. If the user does not re-evaluate, the evaluation conclusion and the questionnaire version are decoupled.

[0054] In the specific application of this embodiment, if a user exits the assessment midway, the system saves the data of the answered questionnaires and a list of unanswered questionnaires. When re-entering the assessment, the system compares the backend version numbers of the unanswered questionnaires (for example, if the current backend version is V2.1 and the user's unanswered questionnaire is V2.0). If there is a version discrepancy, a pop-up window will appear stating "The questionnaire has been updated. Re-assessment is required to ensure accurate results." If the user chooses to continue, the system decouples the assessment conclusion from the questionnaire version, generating a provisional conclusion based on the answered old version of the questionnaire and noting "Some data is based on the old version of the questionnaire. Re-assessment is recommended."

[0055] Specifically, the dynamic update of the user portrait includes triggering update based on time triggering rules or event triggering rules; The trigger update based on the time trigger rule is: based on a preset evaluation period, automatically re-execute the generation of the first feature and the second feature to perform the trigger update; The trigger update based on the event trigger rule is: triggered by the user's repeated evaluation behavior, and the generation of the first feature and the second feature is re-executed to perform the trigger update.

[0056] Specifically, the characteristic interpretability of the four-dimensional evaluation system includes: The logical basis for displaying content push to users includes a description of the mapping relationship between the user profile and the content profile.

[0057] In summary, the user menopausal physical and mental health assessment and popular science system of this embodiment significantly improves the scientific nature and user experience of menopausal health management through the collaboration of multiple modules: the dynamic assessment process module supports operators to flexibly establish comprehensive assessment or user-selected assessment modes, combined with interruption records and questionnaire version verification mechanisms, which not only ensures data integrity but also adapts to the real-time update requirements of medical guidelines; the multidimensional assessment engine integrates three-dimensional data of basic population information, physiological and psychological characteristics, streamlines and popularizes medical scales, breaking through the limitations of the single assessment dimension and complex operation of existing technologies, and achieving more comprehensive and accurate health assessments; the personalized knowledge content push engine constructs dynamic user profiles based on multidimensional data and assessment results, and achieves accurate matching and explainable push of health knowledge through a tag system and a four-dimensional evaluation system, solving the problem of extensive content matching in traditional general knowledge bases; each module, through a closed-loop data system and dynamic feedback mechanism, comprehensively improves the flexibility, operational efficiency and user acceptance of health management content of the assessment system, effectively adapting to the dynamic expansion and personalized service needs in medical scenarios, and providing more refined and efficient physical and mental health management solutions for menopausal people.

[0058] In the embodiments provided herein, it should be understood that the embodiments described herein can be implemented using hardware, software, firmware, middleware, code, or any appropriate combination thereof. For hardware implementation, the processor may be implemented in one or more of the following: an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field-programmable gate array (FPGA), a processor, a controller, a microcontroller, a microprocessor, or other electronic units designed to implement the functionality described herein, or any combination thereof. For software implementation, some or all of the processes of the embodiments may be performed by a computer program instructing the relevant hardware. During implementation, the program may be stored in a computer-readable storage medium or transmitted as one or more instructions or codes on a computer-readable storage medium. Computer-readable storage media include computer storage media and communication media, wherein communication media includes any medium that facilitates the transmission of a computer program from one location to another. The storage medium may be any available medium that can be accessed by a computer. Computer-readable storage media may include, but are not limited to, RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage media or other magnetic storage devices, or any other medium capable of carrying or storing the desired program code in the form of instructions or data structures and accessible by a computer.

[0059] Finally, it should be noted that the above is only a preferred embodiment of the present application and is not intended to limit the present application. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or make equivalent replacements for some of the technical features therein. Any modifications, equivalent replacements, improvements, etc. made within the spirit and principles of the present application should be included in the scope of protection of the present application.

Claims

1. A user menopausal physical and mental health assessment and popular science system, characterized by: It includes a science popularization area and dynamic evaluation process module connected in a closed-loop communication, a multi-dimensional evaluation engine, and a general knowledge and personalized knowledge content push engine; The science popularization garden and dynamic evaluation process module are used by the operator to set up an introduction and evaluation process. The introduction is the epidemiological status of the population, and the evaluation process is used to collect multidimensional data. The multidimensional data includes basic population information, epidemiological characteristics, physiological characteristics, psychological characteristics, pathological characteristics and risk stratification of high-risk groups; The multidimensional assessment engine is used to transform the existing medical scale after integrating the multidimensional data, and to conduct menopausal physical and mental health assessment and popularization of the user based on the transformed medical scale to generate an assessment result; The general knowledge and personalized knowledge content push engine is used to build a user portrait based on the multidimensional data and the evaluation results, match a preset content portrait based on the user portrait, and push personalized knowledge content based on the matched content portrait.

2. The user menopausal physical and mental health assessment and popular science system according to claim 1 is characterized in that: The evaluation process is formed, including: The existing collection questionnaires are used as the smallest unit, and the collection questionnaires are combined to obtain the evaluation process. The operator obtains the evaluation process under the comprehensive evaluation mode by combining the collection questionnaires through the background, and the user obtains the evaluation process under the self-selected evaluation mode by combining the collection questionnaires on his own.

3. The user menopausal physical and mental health assessment and popular science system according to claim 1, characterized in that: The basic demographic information includes age, region, occupation, education level, cognitive status and living habits; The physiological characteristics include past medical history, family history, reproductive system indicators and cardiovascular system indicators; The psychological characteristics include sleep quality assessment, anxiety score and depression tendency detection; The risk stratification of high-risk groups includes high-risk groups for osteoporosis, cardiovascular system risk stratification, and high-temperature groups.

4. The user menopausal physical and mental health assessment and popular science system according to claim 1 is characterized in that: The modification of the medical scale includes: The scoring dimensions and extent of the streamlined medical scale; Use visual interactive controls; Break down professional medical issues into popular expressions and embed graphic and text explanations.

5. The user menopausal physical and mental health assessment and popular science system according to claim 1 is characterized in that: The construction of the user portrait includes: Performing feature engineering processing on the fused multidimensional data to generate a first feature, where the first feature is used to characterize the original situation of the user; Performing semantic extraction on the evaluation result to generate a second feature, where the second feature is used to characterize the user's evaluation situation; A user profile is constructed based on the first feature and the second feature.

6. The user menopausal physical and mental health assessment and popular science system according to claim 1 is characterized in that: The preset of the content portrait includes: The knowledge content is scored and marked based on the labeling system, content attributes, content timeliness and content quality, and the content portrait is preset based on the score and mark.

7. The user menopausal physical and mental health assessment and popular science system according to claim 1 is characterized in that: The personalized knowledge content push based on the matched content portrait includes: Construct a four-dimensional evaluation system including portrait accuracy, content practicality, update timeliness and feature interpretability; The quality score of personalized knowledge content push is evaluated based on the four-dimensional evaluation system, and each push is based on the knowledge content corresponding to the maximum value of the quality score, and the knowledge content corresponds to the key physiological and psychological content of menopause.

8. The user menopausal physical and mental health assessment and popular science system according to claim 1 is characterized in that: The dynamic assessment process module is also used to perform interruption records and questionnaire version verification, including: When the user re-enters the assessment after interruption, the backend version of the unanswered questionnaire will be automatically compared; If the versions are inconsistent, the user is prompted to re-evaluate. If the user does not re-evaluate, the evaluation conclusion and the questionnaire version are decoupled.

9. The user menopausal physical and mental health assessment and popular science system according to claim 5, characterized in that: The dynamic update of the user profile includes triggering update based on time triggering rules or event triggering rules; The trigger update based on the time trigger rule is: based on a preset evaluation period, automatically re-execute the generation of the first feature and the second feature to perform the trigger update; The trigger update based on the event trigger rule is: triggered by the user's repeated evaluation behavior, and the generation of the first feature and the second feature is re-executed to perform the trigger update.

10. The user menopausal physical and mental health assessment and popular science system according to claim 7, characterized in that: The characteristic interpretability of the four-dimensional evaluation system includes: The logical basis for displaying content push to users includes a description of the mapping relationship between the user profile and the content profile.

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