JP2022123042A - Health management system, health management method, and health management program - Google Patents

Abstract

PROBLEM TO BE SOLVED: To provide a health management system, a health management method, and a health management program for proposing an optimal intake mode of nutrients at each time by reflecting user's behavior and health condition.

SOLUTION: A health management system includes: an expectation item reception part 110 for receiving an input of an expectation item showing a content that a user expects to improve about the user's health condition, from the user; a nutrient proposal part 130 for proposing nutrients that the user should intake in order to achieve the expectation item; an intake history acquisition part 120 for allowing the user to acquire an intake history of nutrients proposed by the nutrient proposal part 130 and storing the intake history in a storage part 150; and a biological information acquisition part 140 for acquiring the user's biological information and storing the biological information in the storage part 150. The nutrient proposal part 130 newly proposes nutrients that the user should intake by using the latest biological information when the biological information acquired by the biological information acquisition part 140 is updated.

SELECTED DRAWING: Figure 2

COPYRIGHT: (C)2022,JPO&INPIT

Description

The present invention relates to a health care system, health care method, and health care program.

2. Description of the Related Art Conventionally, there has been known a meal proposal system that proposes meal contents in consideration of health.
For example, Patent Literature 1 discloses a configuration in which, when a keyword on health is entered, a meal menu using ingredients having functional ingredients associated with the entered keyword is retrieved from a database and presented. .

JP 2014-021723 A

However, conventional meal proposal systems have room for improvement in terms of reflecting changes in the user's health condition in their daily lives and proposing an optimal meal menu for each moment.

SUMMARY OF THE INVENTION Accordingly, it is an object of the present invention to provide a health management system that reflects a user's behavior and health condition and can propose an optimal nutritional intake mode for each occasion.

In order to solve the above-described problems, the health management system of the present invention includes: an expectation item receiving unit for receiving an input of an expectation item from the user indicating what the user expects to improve with respect to the health condition of the user; a nutrition proposal unit that proposes nutrients to be obtained by the user, an intake history acquisition unit that acquires the intake history of the nutrients proposed by the nutrition proposal unit and stores the intake history in a storage unit; a biological information acquisition unit that acquires the user's biological information and stores it in the storage unit, and the nutrition proposal unit obtains the latest biological information when the biological information acquired by the biological information acquisition unit is updated. We propose a new nutrient that the user should obtain by using

Further, the biological information acquisition unit may acquire new biological information when the intake history acquired by the intake history acquisition unit is updated.

In addition, the intake history acquisition unit acquires the purchase history of health foods containing nutrients purchased by the user, and stores the purchase history in the storage unit. Based on this, the nutrient intake history may be estimated.

In addition, the Nutrition Suggestion Department obtains impact items that indicate the effects of nutritional components and intake patterns on the human body from papers on nutritional components that affect the human body and their intake patterns, and furthermore, numerically expresses the extent of the effects. An article analysis unit that quantifies the degree of influence shown, an expected item setting unit that accepts the effects on the human body expected from food or nutritional ingredients as expected items, and a section that achieves expected items based on the impact items and the degree of impact. A combination of food or nutrient ingredients suitable for , or an intake mode identification unit that specifies a preferred intake mode thereof.

In order to solve the above-described problems, the health management method of the present invention provides an expectation item reception system in which a computer receives, from a user, an input of an expectation item indicating what the user expects to improve with respect to the health condition of the user. a nutrition proposing step of proposing nutrients to be obtained by the user in order to realize the expected item; A history acquisition step and a biometric information acquisition step of acquiring biometric information of the user and storing it in a storage unit are executed, and the nutrition proposing step is performed when the biometric information acquired by the biometric information acquisition step is updated. , the latest biological information may be used to newly propose nutrients that the user should obtain.

In order to solve the above-described problems, the health care program of the present invention provides a computer with an expectation item reception for receiving, from the user, an input of an expectation item indicating what the user expects to improve with respect to the health condition of the user. A function, a nutrition proposal function that proposes nutrients that the user should acquire in order to realize the expected item, and an intake that the user acquires the intake history of the nutrients suggested by the nutrition proposal function and stores it in the storage unit. A history acquisition function and a biometric information acquisition function that acquires the user's biometric information and stores it in a storage unit are realized, and the nutrition proposal function is performed when the biometric information acquired by the biometric information acquisition function is updated , the latest biological information may be used to newly propose nutrients that the user should obtain.

The health management system of the present invention newly proposes nutrients to be acquired by the user using the latest biological information when the biological information acquired by the biological information acquisition unit is updated.
For this reason, it is possible to reflect the behavior and health condition of the user and propose the optimal nutritional intake mode at each time.

1 is a schematic diagram showing a configuration of a health care system and its surroundings according to an embodiment of the present invention; FIG. FIG. 2 is a block diagram showing the configuration of the health management system for the nutritional intake mode shown in FIG. 1; FIG. 2 is a flowchart showing a processing flow in the health care system shown in FIG. 1; FIG. 2 is a flowchart showing a processing flow in the system for proposing nutritional intake modes shown in FIG. 1;

One embodiment of the present invention will be described with reference to FIGS. 1 to 4. FIG.
FIG. 1 is a schematic diagram showing a health care system 100 according to one embodiment of the present invention and its peripheral configuration.
Health management system 100 is connected to article database 30 , sales database 31 , examination database 32 , and user terminal 10 via network 40 . Therefore, the health management system 100 can acquire necessary information from a plurality of article databases 30 and can output the processing result to be proposed to the user 20 to the user terminal 10 .

The user terminal 10 is, for example, a personal computer of the user 20 . The user 20 can use the user terminal 10 to check the nutrition intake mode suggested by the health management system 100 . Here, the mode of nutrient intake refers to cooking methods using food or nutrient components, such as cooking menus, foods, and recipes thereof. Also, the mode of nutrient intake is not limited to cooking, and may be, for example, a method of preparing supplements.

The network 40 is a network for interconnecting the health management system 100 and various devices, and is, for example, a wireless network or a wired network.
Specifically, the network 40 includes a wireless LAN (WLAN), a wide area network (WAN), ISDNs (integrated service digital networks), wireless LANs, LTE (long term evolution), LTE-Advanced, Fourth generation (4G), fifth generation (5G), CDMA (code division multiple access), WCDMA (registered trademark), Ethernet (registered trademark), and the like.

In addition, the network 40 is not limited to these examples, for example, public switched telephone network (PSTN), Bluetooth (registered trademark), Bluetooth Low Energy, optical line, ADSL (Asymmetric Digital Subscriber Line) line, satellite communication network, or any other network.

Also, the network 40 may be, for example, NB-IoT (Narrow Band IoT) or eMTC (enhanced Machine Type Communication). NB-IoT and eMTC are wireless communication schemes for IoT, and are networks capable of long-distance communication at low cost and low power consumption.

Network 40 may also be a combination of these. Network 40 may also include multiple different networks that combine these examples. For example, the network 40 may include a wireless network based on LTE and a wired network such as an intranet, which is a closed network.

The health management system 100 is an information processing server that proposes a suitable nutritional intake mode to the user 20 . Health management system 100 may be realized by artificial intelligence, for example. The configuration of the health care system 100 will be described in detail below. FIG. 2 is a block diagram showing the configuration of the health care system 100 shown in FIG. 1. As shown in FIG.

As shown in FIG. 2, the health management system 100 includes an expected item reception unit 110, an intake history acquisition unit 120, a nutrition proposal unit 130, a biological information acquisition unit 140, a storage unit 150, and an input/output unit 160. , is equipped with
Expectation item receiving unit 110 receives an input of an expectation item indicating the contents of improvement expected by user 20 with respect to the health condition of user 20 from user 20 via the user terminal. Here, the expected item is an item indicating the effect on the human body expected by the user 20 by ingestion of food or nutritional components, such as improvement of bone density, whitening of skin, reduction of blood pressure, weight and body weight. A decrease in fat percentage and the like correspond to this.

The intake history acquisition unit 120 acquires the intake history of nutrients proposed by the nutrition proposal unit 130 by the user 20 and stores the history in the storage unit 150 described later.
The intake history acquisition unit 120 acquires the purchase history of health foods containing nutrients purchased by the user 20 from an external sales database, and stores the purchase history in the storage unit 150 . At this time, the intake history acquisition unit 120 acquires the recommended intake amount per day as the information of the health food.

Then, the intake history acquisition unit 120 estimates the intake history of nutrients based on the purchase history and the recommended intake amount, and stores the estimated intake history in the storage unit 150 . That is, by calculating the amount of nutrients presumed to be ingested based on the fact of purchase, it is possible to omit confirmation of daily ingestion.

The biometric information acquisition unit 140 acquires the biometric information of the user 20 and stores it in the storage unit 150 . Here, the biological information is values obtained from various examinations such as physical examinations, such as height, weight, body fat percentage, blood pressure, blood composition, blood sugar level, and bone density.
The biometric information acquisition unit 140 acquires the biometric information of the user 20 from the examination database 32 . In the examination database 32, biometric information obtained from the user 20 through periodic health examinations or the like is accumulated. The biological information includes the results of various examinations in health checkups.

The storage unit 150 has a function of storing various control programs and various data necessary for the nutrition suggesting unit 130 to operate. The storage unit 150 is realized by various storage media such as HDD, SSD, and flash memory, for example.

Also, the health management system 100 may implement each function to be implemented by storing the control program in the storage unit 150 and executing the analysis program. Each function here includes at least an expected item reception function, a nutrition proposal function, a nutrition intake history acquisition function, and a biological information acquisition function.

In addition, the storage unit 150 stores, as one of various types of data to be stored, influence items (effect items) acquired from the article data by the article analysis unit 131 described later in association with nutrients that realize the effects. Influence items are contents that indicate the effects of nutritional components and intake methods on the human body. do.

In addition, the storage unit 150 stores, as one of the various types of data to be stored, the degree of influence acquired from the article data by the article analysis unit 131, which will be described later, in association with the nutrient that realizes this. The degree of influence is data that quantitatively expresses the degree of influence acting on the human body as an influence item. That is, the larger the numerical value, the greater the impact on the human body.
For example, the degree of influence is indicated as <vitamin C1: skin beautifying effect 40/antiaging effect 30>, <lemon: skin beautifying effect 20/antiaging effect 15>, and the like. Note that each numerical value exemplified in this description is merely an example of a display mode, and is not based on a technical basis.
The storage unit 150 also stores, as one of the various types of data to be stored, the expected item input by the user 20 from the user terminal 10 .

Nutrition proposal unit 130 is a computer that controls each unit of health management system 100, and may be, for example, a central processing unit (CPU), microprocessor, ASIC, FPGA, or the like.

The nutrition proposal unit 130 proposes nutrients that the user 20 should acquire in order to achieve the expected items. When the biometric information acquired by the biometric information acquisition unit 140 is updated, the nutrition proposal unit 130 newly proposes nutrients that the user 20 should acquire using the latest biometric information.
Nutrition proposal unit 130 includes article analysis unit 131 , expected item setting unit 132 , and intake mode identification unit 133 .

The thesis analysis unit 131 acquires, from the thesis stored in the thesis database 30, an effect item indicating the effect that the nutritional component and the intake mode have on the human body, and further quantifies the degree of impact, which indicates the degree of the effect numerically. get. The paper analysis unit 131 acquires influence items from the paper data by, for example, text mining, and stores them in the storage unit 150 .

In addition, the paper analysis unit 131 sets an impact item and an evaluation item related to each chapter constituting the paper, and aggregates the parameters corresponding to the plurality of evaluation items, thereby obtaining the impact item and the degree of impact. Here, a chapter is an element that constitutes a paper, and is classified into background, purpose, method, result, consideration, chart, and the like.
This point will be described in detail below. Note that the acquisition method described here is an example, and other acquisition methods may be adopted. Note that if the thesis does not have chapters, the thesis analysis unit 131 does not need to analyze the thesis for each chapter that constitutes the thesis.

First, the paper analysis unit 131, from the sentences or charts (Figures and tables) described in the Result part of the chapter of the paper, as the control group vs the verification group, (verification group value ÷ control group value × 100) is the "comparison index".
Here, the verification group is a data group corresponding to the purpose of verification in the paper, and the verification group value refers to the total sum of the values indicated by the data constituting the verification group. Further, the control group is a data group used for comparison with the verification group, and the control group value refers to the total sum of the values indicated by the respective data constituting the control group.

Next, if the "comparative index" is less than 100, the value (100-comparative index) is set as the "reduced comparative index", and if the "comparative index" is 100 or more, the value is (comparative index-100). is the “upward comparison index”.
Then, the verification purpose is grasped from the sentences or charts (Figures and tables) described in the Result section, and the "comparison decrease index" and "comparison increase index" for each verification purpose are calculated.

Next, the article analysis unit 131 extracts the "name", "amount used", and "period of use" of the food or nutritional component from the sentences or charts described in the method part such as Protocol or Method among the chapters of the article. . Then, (usage amount×usage period) is defined as the “usage stress value”.
In addition, the paper analysis unit 131 specifies the verification group by usage amount or usage period from the method part such as Protocol or Method and the Result part, for example, verification group A, verification group B, etc. Calculate the “comparison index”, “decrease comparison index” and “increase comparison index” for each verification group.

Next, the paper analysis unit 131 selects a verification group in which a statistically significant difference (P < 0.05 or P < 0.01) is shown in the text or chart of the Result part of each verification group. Call it the “positive validation group”. Here, the statistically significant difference P is a value indicating the statistical reliability of the observed difference, and is obtained according to a statistical method.
In addition, the paper analysis unit 131 selects a verification group in which a statistically significant difference (P < 0.05 or P < 0.01) is not shown in the text or chart of the Result part of each verification group as ""negative verification group".
Then, the “usage stress value” for each verification group is calculated. In addition, for each verification group, (decrease comparison index or increase comparison index / use stress value) is defined as the "effect index".

Then, the thesis analysis unit 131 sets the minimum "use stress value" in the "positive verification group" as the "minimum use stress value". Further, the article analysis unit 131 sets the maximum "use stress value" in the "positive verification group" as the "maximum use stress value".

In addition, the thesis analysis unit 131 sets the “comparison decrease index” or the “comparison increase index” of the verification group of the “minimum use stress value” as the “comparison decrease index during minimum use stress” or the “comparison increase index during minimum use stress”. do.
In addition, the article analysis unit 131 sets the “comparative decrease index” or “comparative increase index” of the verification group of the “maximum use stress value” as the “comparative decrease index during maximum use stress” or the “comparative increase index during maximum use stress”. do.

In addition, the thesis analysis unit 131 sets ((comparative decrease index at minimum use stress, or increase comparison index at minimum use stress)/minimum use stress value)) as the “minimum decrease effect value” or the “minimum increase effect value”. .
Further, the thesis analysis unit 131 sets ((comparative decrease index at maximum use stress, or increase comparison index at maximum use stress)/maximum use stress value) as the “maximum decrease effect value” or the “maximum increase effect value”.

In addition, the thesis analysis unit 131 selects the "minimum reduction effect value" or " Select the minimum increase effect value, maximum decrease effect value, or maximum increase effect value, and make it the thesis effect value.

Also, the paper analysis unit 131 uses each of the above-described items as a paper parameter. That is, in this description, the article parameters are "comparison index", "decrease comparison index", "increase comparison index", "name", "use amount", "use period", "use stress value", "positive validation group , ``negative test group'', ``efficacy index'', ``minimum use stress value'', ``maximum use stress value'', ``decrease comparison index at minimum use stress'', ``increase comparison index at minimum use stress'', ``minimum decrease Effect Size”, “Minimum Increased Effect Size”, “Maximum Decrease Effect Size”, “Maximum Increased Effect Size”, and “Thesis Effect Size”. This article parameter is used by the intake mode identification unit 133, which will be described later.

The expected item setting unit 132 receives, as an expected item, an effect on the human body expected from the food or nutritional component. The expected item setting unit 132 stores in the storage unit 150 the expected item input to the expected item receiving unit 110 via the user terminal 10 .
The intake manner identification unit 133 identifies an intake manner of food or the like suitable for achieving the expected item based on the influence item and the degree of influence.

The intake mode identification unit 133 identifies an influencing item corresponding to the expected item, and identifies a preferable ingestion mode of food or the like so that the degree of influence corresponding to the influencing item shows the maximum value. A method for identifying a suitable intake mode of food or the like by the intake mode identification unit 133 will be described in detail below.
The intake mode identification unit 133 analyzes the combination of foods or nutrient components using each of the above-described “paper parameters”. That is, the intake mode identification unit 133 calculates the “average article parameter” for the same food or nutritional component, and obtains the average value of the “article effect value” and the like for each food or nutritional component.

In addition, the intake mode identification unit 133 calculates the expected value of the synergistic effect such as the "paper effect" when combined from the average value of the "paper parameter" of different foods or nutritional components, and prepares with reference to the expected value make use of
In addition, in the case of the article effect value as a nutritional ingredient in the article, the food containing the nutritional ingredient is specified, and the amount used as the food is calculated. For example, by ingesting how many grams of food, how many grams of nutritional components can be ingested.

In addition, the intake mode identification unit 133 may automatically calculate the cost of the food to be used to calculate the product cost. At this time, the product cost is calculated according to the amount of general nutritional components (calories, carbohydrates, proteins, lipids, vitamins, minerals, amino acids, fatty acids, water, etc.) of the food used.

In addition, the intake pattern identification unit 133 may use the Japanese Nutrition Intake Standards of the Ministry of Health, Labor and Welfare. Specifically, each nutritional ingredient contained in the prepared food (product) is required to meet the intake standards for each nutritional ingredient according to age, gender, amount of physical activity, and whether or not menstruation is present. Calculate the sufficiency rate (estimated amount of each nutrient in the prepared food/standard intake of each nutrient x 100).

In addition, the intake manner identification unit 133 may identify an intake manner of a food or the like suitable for achieving an expected item by using pre-designated foods or nutritional components. That is, by using the food or nutritional components specified by the user 20 inputting from the user terminal 10 to the input/output unit 160, the preferred intake mode of the food or the like is specified. In this case, only the food or nutritional component specified by the user 20 may be used, or other food or nutritional component may be used in addition to the specified one.

It should be noted that the intake mode identification unit 133 is not limited to the above-described method, and may identify the preferable intake mode of food or the like by other methods.
For example, the storage unit 150 stores a specific model used for specifying a preferred mode of intake of food or the like. The specific model is associated with an expected item and an intake mode of food or the like suitable for realizing the expected item.
Then, the intake manner identification unit 133 may use the identification model to select and identify an intake manner such as a suitable food item corresponding to the expected item.

The input/output unit 160 is a communication interface for receiving article data from the article database 30 and receiving expected items from the user terminal 10 via the network 40 shown in FIG.
The input/output unit 160 also receives an analysis instruction input from the user 20 to the user terminal 10 . Input/output unit 160 receives various data and transmits the data to nutrition proposal unit 130 .
The input/output unit 160 also has a function of transmitting data processed by the nutrition proposal unit 130 to the user terminal 10 . That is, the input/output unit 160 allows the user 20 to confirm the data processed by the nutrition proposal unit 130 by transmitting the data to the user terminal.

Next, the control flow of health management system 100 will be described with reference to FIG. FIG. 4 is a flowchart showing the processing flow in health management system 100 shown in FIG.
First, the user 20 inputs an expected item, which is a health effect expected from nutrient intake, to the expected item receiving unit 110 (S501). Next, according to the input expected items, the nutrition proposal unit 130 refers to the article data as described above and proposes nutrients that the user 20 should acquire (S502). Next, the intake history acquisition unit 120 acquires the purchase information of the user 20 from the sales database 31 (S503).

Also, the biometric information acquisition unit 140 acquires the biometric information of the user 20 from the examination database 32 (S504). At this time, the biometric information must be biometric information acquired through examinations that meet the expectations of the user 20 .
Next, the nutrition proposal unit 130 determines whether or not the biometric information of the user 20 meets the expectations of the user 20 (S505). Then, if the expected item has been achieved (Yes in S505), the entire process ends. On the other hand, if the expected items have not been achieved (No in 505), the nutrition proposal unit 130 again proposes nutrients that the user 20 should acquire (S502).

At this time, the nutrition proposal unit 130 proposes nutrients to be acquired based on the latest biological information. Then, as described above, the intake history acquisition unit 120 acquires purchase information from the sales database 31 (S503), and the biological information acquisition unit 140 acquires biological information from the examination database 32. Nutrition proposal unit 130 repeats this process until the expected item is achieved.

To give a specific example, for example, the user 20 inputs a target blood pressure value as an expected item for the purpose of lowering blood pressure. In this case, the nutrition proposal unit 130 proposes nutrients and their intake manners that lower blood pressure.
Then, the intake history acquisition unit 120 acquires, as the purchase information, the information that the user 20 has purchased a blood pressure-lowering supplement or the like from the sales database 31 together with the product information. Then, the biological information acquisition unit 140 acquires the blood pressure measurement result from the examination database 32 as the biological information of the user 20 . Then, nutrition proposal unit 130 determines whether the blood pressure value has achieved the target value.

Next, the control flow of the nutrition proposal unit 130 will be described with reference to FIG. 4 . FIG. 4 is a flow diagram showing a processing flow in nutrition proposal section 130 shown in FIG.
First, the user 20 inputs various data to the input/output unit 160 using the user terminal 10 (S601). Next, as an article analysis step, the article analysis unit 131 analyzes the article data by, for example, the method described above (S602).

Next, as an expected item setting step, the expected item setting unit 132 receives an expected item. (S603). At this time, the expected item setting unit 132 stores the expected item input by the user 20 into the expected item receiving unit 110 in the storage unit 150 .

Then, as an intake mode identification step, the intake mode identification unit 133 identifies a preferred intake mode of food or the like by, for example, the method described above (S604).
Finally, the input/output unit 160 outputs the processing result to the user terminal 10 (S605). Thereby, the user 20 can confirm the processing result by the proposed system by accessing the user terminal 10 .

As described above, according to the health care system of the present invention, when the biometric information acquired by the biometric information acquisition unit 140 is updated, the nutrients to be acquired by the user 20 are determined using the latest biometric information. Propose new.
Therefore, it is possible to reflect the behavior and health condition of the user 20 and propose the optimal nutrition intake mode at each time.

Moreover, the biometric information acquiring unit 140 acquires new biometric information when the intake history is updated. Therefore, after the user 20 acquires the nutrients suggested by the nutrition proposal unit 130, the effect of the nutrients on the body of the user 20 can be confirmed by the biological information acquired by the biological information acquiring unit 140. . Accordingly, by confirming the latest information as the biological information of the user 20, the nutrition proposal unit 130 can highly accurately propose nutrients that the user 20 should obtain.

In addition, the intake history acquisition unit 120 estimates the intake history of nutrients based on the purchase history and the recommended daily intake of health foods. Therefore, there is no need to manage the amount of nutrients actually obtained by user 20, and convenience for user 20 can be ensured.

Further, the thesis analysis unit 131 of the present invention acquires an effect item indicating the effect of the nutrient component and the ingested component on the human body from the nutrient component that affects the human body and the ingestion mode of the nutrient component. Furthermore, the degree of influence, which indicates the degree of influence numerically, is quantified and acquired.
For this reason, for example, there is no need to input various types of information into a database, and it is possible to retroactively acquire and utilize useful information from the huge amount of article data that has been accumulated up to the present. Therefore, by using the information about nutritional components acquired in this way, it is possible to efficiently and effectively propose a mode of nutritional intake.

In addition, since the article analysis unit 131 aggregates the parameters for each chapter in the article, it is possible to efficiently aggregate the parameters from the entire article.
In addition, since the expected item setting unit 132 sets the expected item of the user 20, the intake mode specifying unit 133 can specify the optimal intake mode of food or the like for the effect desired by each user 20. FIG.

In addition, since the intake mode identification unit 133 identifies an influencing item corresponding to the expected item, and specifies a suitable intake mode of food or the like so that the degree of influence corresponding to the influencing item shows the maximum value, the intake mode can be Quantitative determination by the specifying unit 133 makes it possible to reliably specify a preferred mode of intake.

It goes without saying that the devices according to the above embodiments are not limited to the above embodiments, and may be realized by other techniques. Various modifications will be described below.
For example, the article analysis unit 131, the expected item setting unit 132, and the intake pattern identification unit 133 included in the nutrition proposal unit 130 may be independent devices. In other words, the health management system 100 may each include an article analysis device, an expected item setting device, and an intake pattern identification device.

Moreover, the program of the above embodiment may be provided in a state stored in a computer-readable storage medium. The storage medium can store the program in a "non-temporary tangible medium". A storage medium may include any suitable storage medium such as an HDD, an SDD, or a suitable combination of two or more thereof. Storage media may be volatile, non-volatile, or a combination of volatile and non-volatile. Note that the storage medium is not limited to these examples, and may be any device or medium as long as it can store the program.

Also, the health care system 100 can implement the functions of the functional units shown in each embodiment by, for example, reading a program stored in a storage medium and executing the read program. Also, the program may be provided to the health care system 100 via any transmission medium (communication network, broadcast wave, etc.). The health management system 100 realizes the functions of a plurality of functional units shown in each embodiment, for example, by executing a program downloaded via the Internet or the like.

Further, the program may be implemented using, for example, a scripting language such as ActionScript or Javascript (registered trademark), an object-oriented programming language such as Objective-C or Java (registered trademark), a markup language such as HTML5, or the like. good.

At least part of the processing in health care system 100 may be realized by cloud computing configured by one or more computers. Further, each functional unit of the health management system 100 may be implemented by one or more circuits that implement the functions shown in the above embodiments, and it is assumed that one circuit implements the functions of multiple functional units. good too.

Also, although the embodiments of the present disclosure have been described based on the drawings and examples, it should be noted that a person skilled in the art can easily make various modifications and modifications based on the present disclosure. Therefore, it should be noted that these variations and modifications are included within the scope of this disclosure. For example, the functions included in each means, each step, etc. can be rearranged so as not to be logically inconsistent, and it is possible to combine a plurality of means, steps, etc. into one or divide them. . Also, the configurations shown in the respective embodiments may be appropriately combined.

<Appendix>
The article analysis apparatus of the present invention may have the following configuration.

Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. A thesis analysis device that acquires an impact item indicating the
each chapter includes text and diagrams;
Acquiring the impact items indicated by the paper from each chapter,
An article analysis apparatus for calculating a minimum reduction effect value, a minimum increase effect value, a maximum reduction effect value, and a maximum increase effect value as the degree of influence indicated by the article, according to the following procedures (1) to (8).
(1) It is used to grasp the verification purpose from the result part of each chapter, and to compare the verification group value, which is the sum of the verification group, which is the data group that is the verification purpose in the paper, with the verification group. A control group value indicating the total sum of the control group, which is the data group, is read.
(2) Calculate the value of verification group value/control group value×100 as a comparison index, and when the comparison index is less than 100, calculate the value obtained as 100−the comparison index as a reduced comparison index.
(3) Read the name of the food or nutritional ingredient, the amount used, and the period of use from the method portion of each chapter, and calculate the amount used×the period of use as the use stress value for each verification group.
(4) Calculate the reduction comparison index/the use stress value as a reduction effect index.
(5) In the result part, among the verification groups, the verification group showing a statistically significant difference is defined as the positive verification group.
(6) The minimum use stress value in the positive verification group is set as the minimum use stress value.
(7) The reduction comparison index in the verification group to which the minimum use stress value belongs is defined as the reduction comparison index under minimum use stress.
(8) Calculate the reduction comparison index at the time of minimum use stress/minimum use stress value as the minimum reduction effect value.

Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. A thesis analysis device that acquires an impact item indicating the
each chapter includes text and diagrams;
Acquiring the impact items indicated by the paper from each chapter,
An article analysis apparatus for calculating a minimum reduction effect value, a minimum increase effect value, a maximum reduction effect value, and a maximum increase effect value as the degree of influence indicated by the article, according to the following procedures (1) to (8).
(1) It is used to grasp the verification purpose from the result part of each chapter, and to compare the verification group value, which is the sum of the verification group, which is the data group that is the verification purpose in the paper, with the verification group. A control group value indicating the total sum of the control group, which is the data group, is read.
(2) Calculate the value of verification group value/control group value x 100 as a comparison index, and when the comparison index is 100 or more, calculate the value obtained by subtracting the comparison index from -100 as an increase comparison index.
(3) Read the name of the food or nutritional ingredient, the amount used, and the period of use from the method portion of each chapter, and calculate the amount used×the period of use as the use stress value for each verification group.
(4) Calculate the reduction comparison index/the use stress value as a reduction effect index.
(5) In the result part, among the verification groups, the verification group showing a statistically significant difference is defined as the positive verification group.
(6) The one with the smallest use stress value in the positive verification group is set as the minimum use stress value.
(7) The increase comparison index in the verification group to which the minimum use stress value belongs is set as the increase comparison index at minimum use stress.
(8) Calculate the ratio of the increase comparison index at the time of minimum use stress/minimum use stress value as the minimum increase effect value.

Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. A thesis analysis device that acquires an impact item indicating the
each chapter includes text and diagrams;
Acquiring the impact items indicated by the paper from each chapter,
An article analysis apparatus for calculating a minimum reduction effect value, a minimum increase effect value, a maximum reduction effect value, and a maximum increase effect value as the degree of influence indicated by the article, according to the following procedures (1) to (8).
(1) It is used to grasp the verification purpose from the result part of each chapter, and to compare the verification group value, which is the sum of the verification group, which is the data group that is the verification purpose in the paper, with the verification group. A control group value indicating the total sum of the control group, which is the data group, is read.
(2) Calculate the value of verification group value/control group value×100 as a comparison index, and when the comparison index is less than 100, calculate the value obtained as 100−the comparison index as a reduced comparison index.
(3) Read the name of the food or nutritional ingredient, the amount used, and the period of use from the method portion of each chapter, and calculate the amount used×the period of use as the use stress value for each verification group.
(4) Calculate the reduction comparison index/the use stress value as a reduction effect index.
(5) In the result part, among the verification groups, the verification group showing a statistically significant difference is defined as the positive verification group.
(6) The maximum use stress value in the positive verification group is set as the maximum use stress value.
(7) The decrease comparison index in the verification group to which the maximum use stress value belongs is defined as the decrease comparison index under maximum use stress.
(8) Calculate the maximum use stress reduction index/maximum use stress value as the maximum reduction effect value.

Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. A thesis analysis device that acquires an impact item indicating the
each chapter includes text and diagrams;
Acquiring the impact items indicated by the paper from each chapter,
An article analysis apparatus for calculating a minimum reduction effect value, a minimum increase effect value, a maximum reduction effect value, and a maximum increase effect value as the degree of influence indicated by the article, according to the following procedures (1) to (8).
(1) It is used to grasp the verification purpose from the result part of each chapter, and to compare the verification group value, which is the sum of the verification group, which is the data group that is the verification purpose in the paper, with the verification group. A control group value indicating the total sum of the control group, which is the data group, is read.
(2) Calculate the value of verification group value/control group value x 100 as a comparison index, and when the comparison index is 100 or more, calculate the value obtained by subtracting the comparison index from -100 as an increase comparison index.
(3) Read the name of the food or nutritional ingredient, the amount used, and the period of use from the method portion of each chapter, and calculate the amount used×the period of use as the use stress value for each verification group.
(4) Calculate the increase comparison index/the use stress value as an increase effect index.
(5) In the result part, among the verification groups, the verification group showing a statistically significant difference is defined as the positive verification group.
(6) Among the positive verification groups, the maximum use stress value is set as the maximum use stress value.
(7) The increase comparison index in the verification group to which the maximum use stress value belongs is defined as the increase comparison index at maximum use stress.
(8) Calculate the ratio of the increase comparison index under maximum use stress/maximum use stress value as the maximum increase effect value.

10 User 20 User terminal 30 Article database 31 Sales database 32 Examination database 100 Health management system 110 Expected item reception unit 120 Intake history acquisition unit 130 Nutrition proposal unit 140 Biological information acquisition unit 150 Storage unit 160 Input/output unit

Claims (5)

an expectation item reception unit that receives, from the user, an input of an expectation item indicating what the user expects to improve with respect to the health condition of the user;
a nutrition proposal unit that proposes nutrients that the user should obtain in order to achieve the expected item;
A purchase history of health foods containing the nutrient purchased by the user is obtained, and an intake history of the nutrient is estimated based on the purchase history and recommended daily intake of the health food. an intake history acquisition unit;
a biometric information acquisition unit that acquires biometric information of the user;
Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. a paper analysis unit that acquires an impact item indicating and a degree of impact quantified as the degree of the impact;
with
A health management system in which the nutrition proposing unit newly proposes nutrients to be acquired by the user using the latest biological information when the biological information acquired by the biological information acquiring unit is updated. 2. The health management system according to claim 1, wherein the biological information acquisition unit newly acquires the biological information when the intake history acquired by the intake history acquisition unit is updated. The nutrition proposal unit
an expected item setting unit that accepts, as expected items, effects on the human body expected from food or nutritional components;
an intake mode identification unit that identifies a combination of food or nutritional ingredients suitable for achieving the expected item, or a preferred mode of intake thereof, based on the impact item and the degree of impact; 3. A health care system according to claim 1 or 2. the computer
an expectation item receiving step of receiving, from the user, an input of an expectation item indicating what the user expects to improve with respect to the health condition of the user;
a nutrition proposal step of suggesting nutrients that the user should obtain in order to achieve the expected item;
A purchase history of health foods containing the nutrient purchased by the user is obtained, and an intake history of the nutrient is estimated based on the purchase history and recommended daily intake of the health food. an intake history acquisition step;
a biometric information acquisition step of acquiring biometric information of the user;
Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. A paper analysis step of acquiring an impact item indicating and the degree of impact quantified as the degree of the impact;
and run
In the health care method, the nutrition proposing step newly proposes nutrients to be acquired by the user using the latest biological information when the biological information acquired by the biological information acquiring step is updated. to the computer,
an expectation item reception function for receiving, from the user, an input of an expectation item indicating what the user expects to improve with respect to the health condition of the user;
a nutrition suggestion function that suggests nutrients that the user should acquire in order to achieve the expected item;
A purchase history of health foods containing the nutrient purchased by the user is obtained, and an intake history of the nutrient is estimated based on the purchase history and recommended daily intake of the health food. Ingestion history acquisition function,
a biometric information acquisition function for acquiring biometric information of the user;
Among articles on nutritional components and intake patterns that affect the human body, a plurality of parameters are aggregated from each chapter that constitutes the article to determine the effects of the nutritional components and the intake patterns on the human body. A paper analysis function that acquires an impact item indicating and the degree of impact quantified as the degree of the impact;
to realize
The nutrition proposal function is a health management program that newly proposes nutrients to be obtained by the user using the latest biological information when the biological information obtained by the biological information obtaining function is updated.

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