Comprehensive climacteric woman health management system

Abstract

The invention discloses a comprehensive climacteric woman health management system, and belongs to the technical field of health management. A comprehensive climacteric woman health management system comprises an information acquisition module, a health prediction module, a health guidance module and an information storage module. The problems that in the prior art, only the current health state of the climacteric woman can be evaluated, and hidden health problems and trends are difficult to find are solved, the information of the climacteric woman is stored by establishing the distributed storage area, the safety of long-term storage of the information of the climacteric woman is guaranteed, the resource utilization rate is optimized, and the user experience is improved. Potential risks of osteoporosis, hypertension, coronary heart disease and other diseases can be recognized, timely intervention is performed to delay or avoid disease development, the overall health level is improved, early psychological intervention is facilitated, common mood troubles in climacteric are relieved, the estrogen decline degree can be determined, a hormone replacement therapy scheme can be made in an assisted mode, and the development period of the disease is shortened. And the living quality of climacteric women is improved.

Description

Technical Field

[0001] The present invention relates to the technical field of health management, and specifically provides a comprehensive health management system for menopausal women. Background Art

[0002] The menopause of women is a transitional stage from the reproductive period to the senile period. After the age of 35, the gradual decline of ovarian function brings a series of changes to the body. Most middle-aged women can spend the menopause happily, and about 10-20% of women will feel particularly uncomfortable, resulting in the disorder of their physiological and psychological functions and affecting the health and quality of life of women.

[0003] Chinese Patent with the publication number CN116631653A discloses a comprehensive health management system for menopausal women. The server establishes a communication connection with the menopausal women's terminal and the doctor's terminal through a communication network. It is characterized in that the server includes an initial interface, and the initial interface successively includes a menopausal women's information registration module, a health test and evaluation module, and a health management guidance module downward. The initial interface can directly skip the menopausal women's information registration module and the health assessment module; the menopausal women's information registration module includes a women's basic information input module, a disease problem module, and a risk factor module; the health test and evaluation includes a questionnaire survey module for self-testing and an appointment consultation module for experts; the health management guidance includes a self-guidance module and a treatment service appointment module.

[0004] In the actual use process of the above patent, the health data of menopausal women collected through research is used to evaluate the health of menopausal women, which can only evaluate the current health status of menopausal women and is difficult to discover hidden health problems and trends; therefore, it does not meet the existing needs, and for this reason, we propose a comprehensive health management system for menopausal women. Summary of the Invention

[0005] The purpose of the present invention is to provide a comprehensive health management system for menopausal women. By establishing a distributed storage area to store the information of menopausal women, it ensures the security of the long-term storage of menopausal women's information, optimizes the resource utilization rate, can identify the potential risks of diseases such as osteoporosis, hypertension, and coronary heart disease, improves the overall health level, helps with early psychological intervention, relieves the common emotional distress during menopause, can clarify the degree of estrogen decline, and improves the quality of life of menopausal women, solving the problems raised in the above background art.

[0006] To achieve the above purpose, the present invention provides the following technical solution: A comprehensive health management system for menopausal women, including:

[0007] An information acquisition module, used to collect the information of menopausal women and classify the collected information;

[0008] A health prediction module, which is used to input the collected dataset of menopausal women into a comprehensive health assessment model to generate a comprehensive health assessment index;

[0009] A health guidance module, which is used to build a health guidance information library, call the target health management suggestions in the health guidance information library, and visually display the target health management suggestions;

[0010] An information storage module, which is used to distribute and retrieve the basic information data, physical health data, mental health data and hormone level status index of menopausal women.

[0011] Preferably, the information management module includes:

[0012] An information collection unit, which is used to set health data collection nodes, set the collection period and collection time, and collect information on menopausal women according to the set collection period and collection time;

[0013] A classification unit, which is used to classify the collected data according to basic information data, physical health data, mental health data and hormone level status index.

[0014] Preferably, the health prediction module includes:

[0015] A model construction unit, which is used to obtain the sample data of menopausal women and construct a health prediction model by using the obtained sample data of menopausal women;

[0016] A health assessment unit, which is used to input the health data of menopausal women collected in real time into the health prediction model to evaluate the health status of menopausal women.

[0017] Preferably, the health assessment unit specifically includes:

[0018] A physical fitness assessment unit, which is used to evaluate the physical fitness index of menopausal women by using the physical health data of menopausal women;

[0019] A mental health assessment unit, which is used to evaluate the mental health index of menopausal women by using the mental health data of menopausal women;

[0020] A hormone status assessment unit, which is used to evaluate the hormone status index of menopausal women by using the hormone level data of menopausal women.

[0021] Preferably, the physical fitness assessment unit specifically includes:

[0022] Obtain the physical health data of menopausal women within the monitoring period, perform mean processing on all the physical health data to obtain the average physical health data;

[0023] Calculate the ratio of the average physiological health data to the median of the standard ranges of various physiological health data to obtain the evaluation values of various physiological health data within the monitoring period;

[0024] Perform weighted summation on the evaluation values of various physiological health data to obtain the physical fitness index of menopausal women within the monitoring period.

[0025] Preferably, the mental health evaluation unit specifically includes:

[0026] Obtain the mental health data of menopausal women during the monitoring period, and construct a mental data curve of menopausal women with the change of health data and time;

[0027] Obtain the mental health data baseline curve of menopausal women, and set a similarity threshold, and compare the mental data curve of menopausal women with the mental data baseline curve of menopausal women;

[0028] The value of the similarity between the mental data curve of menopausal women and the mental data baseline curve of menopausal women greater than the preset similarity threshold is recorded as the mental health value;

[0029] Based on the preset weight value, perform weighted summation calculation on the mental health value to obtain the mental health index of menopausal women.

[0030] Preferably, the evaluation process of the health evaluation unit specifically includes:

[0031] Set the threshold of the physiological health data status index, the threshold of the mental health data status index, and the threshold of the hormone level status index for menopausal women;

[0032] Compare the predicted threshold of the physiological health data status index, the threshold of the mental health data status index, and the threshold of the hormone level status index of menopausal women with the real-time evaluated physiological health data status index, mental health data status index, and hormone level status index of menopausal women respectively;

[0033] If the predicted physiological health data status index of menopausal women is greater than the threshold of the physiological health data status index of menopausal women, it indicates that there are physiological health problems in menopausal women, and then generate a normal trend signal for the physiological health change of menopausal women;

[0034] If the mental health index of menopausal women is greater than the mental health impact threshold of menopausal women, it means that the higher the mental health index of menopausal women, the more abnormal the mental health of menopausal women tends to be, and then generate an abnormal trend signal for the mental health change of menopausal women;

[0035] If the predicted hormone level status index of menopausal women is greater than the threshold of the hormone level status index of menopausal women, it indicates that there is an abnormal hormone level problem in menopausal women, and then an abnormal trend signal of the hormone level change in menopausal women is generated.

[0036] Preferably, the health guidance module includes:

[0037] Collect all symptom indexes of menopause, and formulate corresponding health management suggestions according to different symptoms of menopause;

[0038] Construct a health guidance information database by using the health management suggestions corresponding to different symptom indexes of menopause;

[0039] Match the comprehensive health assessment index of menopausal women with all the menopause symptom indexes in the health guidance information database;

[0040] Call the target health management suggestions in the health guidance information database according to the matching result, and visually display the target health management suggestions.

[0041] Preferably, the information storage module specifically includes:

[0042] Build a self-identifying multi-node data storage space to form a distributed storage area;

[0043] The distributed storage area is provided with multiple data storage nodes according to the basic information data, physiological health data, mental health data and hormone level status index of menopausal women. Each data storage node has a unique corresponding data type, and different data retrieval passwords are distributed and stored according to different data types;

[0044] Retrieve the corresponding data retrieval password according to the task content, and retrieve the basic information data of menopausal women and the corresponding health data in the distributed storage area according to the retrieved data retrieval password result.

[0045] Preferably, the information storage module includes

[0046] A distributed storage unit for building a self-identifying multi-node data storage space to form a distributed storage area and setting corresponding data retrieval passwords;

[0047] An information calling unit for retrieving the basic information data of menopausal women and the corresponding health data in the distributed storage area according to the retrieved data retrieval password result.

[0048] Compared with the prior art, the beneficial effects of the present invention are:

[0049] The present invention stores the information of menopausal women by establishing a distributed storage area, which can prevent single-point failures, ensure the security of long-term storage of menopausal women's information, flexibly cope with the continuous growth of health data of menopausal women, avoid the expansion bottleneck of traditional centralized storage, optimize resource utilization, identify potential risks of diseases such as osteoporosis, hypertension, and coronary heart disease through predicting and evaluating physical fitness indexes, and intervene in a timely manner to delay or avoid the development of diseases. By evaluating physical fitness status, formulating targeted exercise plans, improving problems such as easy fatigue and low metabolic rate, and enhancing the overall health level. By predicting the mental health index, it is possible to predict emotional fluctuations such as anxiety and depression, which helps with early psychological intervention and alleviates common emotional distress during menopause. By predicting the hormone index, it is possible to clarify the degree of estrogen decline, assist in formulating hormone replacement therapy plans, relieve symptoms such as hot flashes and insomnia, and improve the quality of life of menopausal women. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 It is a schematic diagram of the modules of a comprehensive health management system for menopausal women according to the present invention;

[0051] Figure 2 It is a schematic diagram of the process of a comprehensive health management system for menopausal women according to the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0052] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. All other embodiments obtained by those of ordinary skill in the art based on the embodiments of the present invention without creative efforts shall fall within the protection scope of the present invention.

[0053] To solve the problem that the existing technology can only evaluate the current health status of menopausal women by collecting and researching the health data of menopausal women, and it is difficult to discover hidden health problems and trends, please refer to Figure 1 - Figure 2 , the following technical solutions are provided in this embodiment:

[0054] A comprehensive health management system for menopausal women, comprising:

[0055] An information acquisition module, configured to collect the information of menopausal women and classify the collected information;

[0056] A health prediction module, configured to input the collected data set of menopausal women into a comprehensive health assessment model to generate a comprehensive health assessment index;

[0057] A health guidance module, which is used to construct a health guidance information library, call the target health management suggestions in the health guidance information library, and visually display the target health management suggestions;

[0058] An information storage module, which is used to distribute and retrieve the basic information data, physiological health data, mental health data, and hormone level status index of menopausal women.

[0059] An information management module, including:

[0060] An information collection unit, which is used to set health data collection nodes, set the collection cycle and collection time, collect information on menopausal women according to the set collection cycle and collection time, and the health data collection nodes are used to collect the health data of menopausal women at different collection times;

[0061] A classification unit, which is used to classify the collected data according to basic information data, physiological health data, mental health data, and hormone level status index.

[0062] The basic information includes: name, age, marital status, education level, occupation, health awareness, physical condition, family situation, childbearing history, family history, weight, and waist circumference; the physiological health data includes blood pressure, heart rate, blood glucose level, menstrual conditions, breast conditions, blood lipid level, and bone density; the mental health data includes stress level, sleep quality, depression level, and anxiety level; the hormone level status index includes the amount of hormone secretion, and the amount of hormone secretion mainly includes the amount of estrogen secretion, the amount of luteinizing hormone secretion, and the amount of follicle-stimulating hormone secretion

[0063] A health prediction module, including:

[0064] A model construction unit, which is used to obtain the sample data of menopausal women and construct a health prediction model by using the obtained sample data of menopausal women;

[0065] A health assessment unit, which is used to input the health data of menopausal women collected in real time into the health prediction model to evaluate the health status of menopausal women.

[0066] The health assessment unit specifically includes:

[0067] A physical fitness assessment unit, which is used to evaluate the physical fitness index of menopausal women by using the physiological health data of menopausal women;

[0068] A mental health assessment unit, which is used to evaluate the mental health index of menopausal women by using the mental health data of menopausal women;

[0069] A hormone status assessment unit, which is used to evaluate the hormone status index of menopausal women by using the hormone level data of menopausal women.

[0070] Physical fitness assessment unit, specifically including:

[0071] Obtain the physiological health data of menopausal women during the monitoring period, perform mean processing on all physiological health data to obtain average physiological health data;

[0072] Calculate the ratio of the average physiological health data to the median of the standard range of each physiological health data to obtain the evaluation values of each physiological health data during the monitoring period;

[0073] Perform weighted summation on the evaluation values of each physiological health data to obtain the physical fitness index of menopausal women during the monitoring period.

[0074] Mental health assessment unit, specifically including:

[0075] Obtain the mental health data of menopausal women during the monitoring period, and construct a curve graph of the mental health data of menopausal women with the change of health data and time;

[0076] Obtain the benchmark curve graph of the mental health data of menopausal women, set a similarity threshold, and compare the curve graph of the mental health data of menopausal women with the benchmark curve graph of the mental health data of menopausal women;

[0077] The numerical value of the similarity between the curve graph of the mental health data of menopausal women and the benchmark curve graph of the mental health data of menopausal women greater than the preset similarity threshold is recorded as the mental health value;

[0078] Based on the preset weight value, perform weighted summation calculation on the mental health value to obtain the mental health index of menopausal women.

[0079] The evaluation process of the health assessment unit specifically includes:

[0080] Set the threshold of the physiological health data status index, the threshold of the mental health data status index, and the threshold of the hormone level status index of menopausal women;

[0081] Compare the predicted threshold of the physiological health data status index, the threshold of the mental health data status index, and the threshold of the hormone level status index of menopausal women with the real-time evaluated physiological health data status index, mental health data status index, and hormone level status index of menopausal women respectively;

[0082] If the predicted physiological health data status index of menopausal women is greater than the threshold of the physiological health data status index of menopausal women, it indicates that menopausal women have physiological health problems, and then generate a normal trend signal of the physiological health change of menopausal women;

[0083] If the predicted physical health data status index of menopausal women is less than or equal to the threshold of the physical health data status index of menopausal women, it indicates that there are no physical health problems in menopausal women, and an abnormal trend signal of physical health changes in menopausal women is generated;

[0084] If the mental health index of menopausal women is less than or equal to the mental health impact threshold of menopausal women, it means that the lower the mental health index of menopausal women, the more normal the mental health of menopausal women tends to be, and a normal trend signal of mental health changes in menopausal women is generated;

[0085] If the mental health index of menopausal women is greater than the mental health impact threshold of menopausal women, it means that the higher the mental health index of menopausal women, the more abnormal the mental health of menopausal women tends to be, and an abnormal trend signal of mental health changes in menopausal women is generated;

[0086] If the predicted hormone level status index of menopausal women is greater than the threshold of the hormone level status index of menopausal women, it indicates that there are hormone level abnormalities in menopausal women, and an abnormal trend signal of hormone level changes in menopausal women is generated;

[0087] If the predicted hormone level status index of menopausal women is less than or equal to the threshold of the hormone level status index of menopausal women, it indicates that there are no hormone level abnormalities in menopausal women, and a normal trend signal of hormone level changes in menopausal women is generated.

[0088] The health guidance module includes:

[0089] Collect all symptom indexes of menopause. All symptom indexes of menopause include memory decline, hot flashes, irritability, depression, muscle and joint pain, decreased libido, menstrual disorders, insomnia, tinnitus, night sweats, inattention, dizziness, suspicion, palpitations, urinary incontinence, mental tension, loneliness, abnormal skin sensation, "two cancers" in women, reproductive tract infections, sexually transmitted diseases, and formulate corresponding health management suggestions according to different symptom indexes of menopause;

[0090] Construct a health guidance information database using the health management suggestions corresponding to different symptom indexes of menopause;

[0091] Match the comprehensive health assessment index of menopausal women with all the menopause symptom indexes in the health guidance information database;

[0092] Call the target health management suggestions in the health guidance information database according to the matching results, and visually display the target health management suggestions.

[0093] The information storage module specifically includes:

[0094] Build a self-identifying multi-node data storage space to form a distributed storage area;

[0095] The distributed storage area is provided with multiple data storage nodes according to the basic information data, physiological health data, mental health data and hormone level status index of menopausal women. Each data storage node has a uniquely corresponding data type, and different data retrieval passwords are stored distributively according to different data types;

[0096] Retrieve the corresponding data retrieval password according to the task content, and retrieve the basic information data of menopausal women and the corresponding health data in the distributed storage area according to the retrieved data retrieval password result.

[0097] The information storage module includes

[0098] The distributed storage unit is used to build a self-identifying multi-node data storage space, form a distributed storage area, and set corresponding data retrieval passwords;

[0099] The information calling unit is used to retrieve the basic information data of menopausal women and the corresponding health data in the distributed storage area according to the retrieved data retrieval password result.

[0100] Working principle: When using a comprehensive menopausal women's health management system of the present invention, according to Figure 1 and Figure 2 , the following steps are included:

[0101] S1: Set health data collection nodes, set the collection cycle and collection time, collect information on menopausal women according to the set collection cycle and collection time, and classify the collected data according to basic information data, physiological health data, mental health data and hormone level status index;

[0102] S2: Obtain the sample data of menopausal women, and use the obtained sample data of menopausal women to construct a health prediction model;

[0103] S3: Input the health data of menopausal women collected in real time into the health prediction model to evaluate the physical fitness, mental health and hormone status of menopausal women;

[0104] S4: Match the evaluated physical fitness, mental health and hormone status of menopausal women with the symptom index in the health guidance information library;

[0105] S5: Retrieve the health guidance opinions matching the symptom index in the health guidance information library according to the matching result of the symptom index, and perform visual display.

[0106] In summary, a comprehensive health management system for menopausal women according to the present invention stores the information of menopausal women through the establishment of a distributed storage area, which can prevent single-point failures. Even if some nodes are damaged or the network is interrupted, the complete data can still be restored through other nodes, ensuring the long-term storage security of the information of menopausal women. It is convenient to quickly restore the health records at a specific time point in case of data misoperation or system failure. By dynamically adding storage nodes, it can flexibly cope with the continuous growth of the health data of menopausal women, avoiding the expansion bottleneck of traditional centralized storage. The hierarchical storage strategy can store frequently accessed data, such as recent diagnosis and treatment records, in high-speed storage media preferentially, and transfer low-frequency data, such as historical physical examination reports, to low-cost storage, optimizing the resource utilization rate. The health prediction model is used to predict the physical fitness, mental health and hormone index of menopausal women. Predicting and evaluating the physical fitness index can identify the potential risks of diseases such as osteoporosis, hypertension and coronary heart disease, and timely intervention can delay or avoid the development of diseases. By evaluating the physical fitness status, a targeted exercise plan is formulated to improve problems such as easy fatigue and low metabolic rate, and the overall health level is improved. By predicting the mental health index, it is possible to predict the tendency of emotional fluctuations such as anxiety and depression, which is helpful for early psychological intervention and relieving the common emotional distress during menopause. By predicting the hormone index, the degree of estrogen decline can be determined, which can assist in formulating hormone replacement therapy plans to relieve symptoms such as hot flashes and insomnia, and improve the quality of life of menopausal women.

[0107] It should be noted that, in this article, relational terms such as first and second are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variant thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method, article or device.

[0108] Although the embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that various changes, modifications, substitutions and variations can be made in these embodiments without departing from the principles and spirit of the present invention.

Claims

1. A comprehensive health management system for menopausal women, characterized in that, Including: An information acquisition module, which is used to collect information of menopausal women and classify the collected information; A health prediction module, which is used to input the collected dataset of menopausal women into a comprehensive health assessment model to generate a comprehensive health assessment index; A health guidance module, which is used to construct a health guidance information database, call the target health management suggestions in the health guidance information database, and visually display the target health management suggestions; An information storage module, which is used to distributively store and retrieve the basic information data, physical health data, mental health data, and hormone level status index of menopausal women.

2. The integrated health management system for menopausal women according to claim 1, wherein: The information management module includes: An information collection unit, which is used to set health data collection nodes, set the collection period and collection time, and collect information of menopausal women according to the set collection period and collection time; A classification unit, which is used to classify the collected data according to basic information data, physical health data, mental health data, and hormone level status index.

3. The comprehensive health management system for menopausal women according to claim 1, wherein: The health prediction module includes: A model construction unit, which is used to obtain sample data of menopausal women and construct a health prediction model by using the obtained sample data of menopausal women; A health assessment unit, which is used to input the health data of menopausal women collected in real time into the health prediction model to evaluate the health status of menopausal women.

4. The integrated health management system for menopausal women according to claim 3, characterized in that: The health assessment unit specifically includes: A physical fitness assessment unit, which is used to evaluate the physical fitness index of menopausal women by using the physical health data of menopausal women; A mental health assessment unit, which is used to evaluate the mental health index of menopausal women by using the mental health data of menopausal women; A hormone status assessment unit, which is used to evaluate the hormone status index of menopausal women by using the hormone level data of menopausal women.

5. The integrated health management system for menopausal women according to claim 4, characterized in that: The physical fitness assessment unit specifically includes: Obtain the physical health data of menopausal women during the monitoring period, perform mean processing on all the physical health data to obtain the average physical health data; Calculate the ratio of the average physical health data to the median of the standard range of each physical health data to obtain the evaluation values of each physical health data during the monitoring period; Perform weighted summation on the evaluation values of each physical health data to obtain the physical fitness index of menopausal women during the monitoring period.

6. The integrated health management system for menopausal women according to claim 4, wherein: The mental health assessment unit specifically includes: Obtain the mental health data of menopausal women during the monitoring period, and construct a curve graph of the mental health data of menopausal women showing the change of health data over time according to the mental health data of menopausal women; Obtain the benchmark curve graph of the mental health data of menopausal women, set a similarity threshold, and compare the curve graph of the mental health data of menopausal women with the benchmark curve graph of the mental health data of menopausal women; The numerical value of the similarity between the curve graph of the mental health data of menopausal women and the benchmark curve graph of the mental health data of menopausal women that is greater than the preset similarity threshold is recorded as the mental health value; Based on the preset weight value, perform weighted summation calculation on the mental health value to obtain the mental health index of menopausal women.

7. The integrated health management system for menopausal women according to claim 4, characterized in that: The evaluation process of the health assessment unit specifically includes: Set the threshold values of the physiological health data status index, mental health data status index, and hormone level status index for menopausal women; Compare the predicted threshold values of the physiological health data status index, mental health data status index, and hormone level status index for menopausal women with the real-time evaluated physiological health data status index, mental health data status index, and hormone level status index of menopausal women respectively; If the predicted physiological health data status index of menopausal women is less than or equal to the threshold value of the physiological health data status index of menopausal women, it indicates that there are no physiological health problems in menopausal women, and then generate an abnormal trend signal for the physiological health change of menopausal women; If the mental health index of menopausal women is greater than the mental health impact threshold of menopausal women, it means that the higher the mental health index of menopausal women, the more abnormal the mental health of menopausal women tends to be, and then generate an abnormal trend signal for the mental health change of menopausal women; If the predicted hormone level status index of menopausal women is greater than the threshold value of the hormone level status index of menopausal women, it indicates that there are hormone level abnormalities in menopausal women, and then generate an abnormal trend signal for the hormone level change of menopausal women.

8. The integrated health management system for menopausal women according to claim 1, characterized in that: The health guidance module includes: Collect all symptom indexes of menopause, and formulate corresponding health management suggestions according to different symptom indexes of menopause; Construct a health guidance information database using the health management suggestions corresponding to different symptom indexes of menopause; Match the comprehensive health assessment index of menopausal women with all menopause symptom indexes in the health guidance information database; Call the target health management suggestions in the health guidance information database according to the matching results, and visually display the target health management suggestions.

9. The integrated health management system for menopausal women according to claim 1, wherein: The information storage module specifically includes: Build a self-identifying multi-node data storage space to form a distributed storage area; The distributed storage area is provided with multiple data storage nodes according to the basic information data, physiological health data, mental health data, and hormone level status index of menopausal women. Each data storage node has a unique corresponding data type, and different data retrieval passwords are distributed and stored according to different data types; Retrieve the corresponding data retrieval passwords according to the task content, and retrieve the basic information data and corresponding health data of menopausal women in the distributed storage area according to the retrieved data retrieval password results.

10. An integrated health management system for menopausal women according to claim 10, characterized in that: The information storage module includes A distributed storage unit for building a self-identifying multi-node data storage space to form a distributed storage area and setting corresponding data retrieval passwords; An information calling unit for retrieving the basic information data and corresponding health data of menopausal women in the distributed storage area according to the retrieved data retrieval password results.

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