KR101006799B1 - System and method for user-specific healthcare service - Google Patents

Abstract

PURPOSE: A system and a method for a user-customized healthcare service are provided to implement systematic management for daily life by utilizing the statistic information or searching history for user behaviors. CONSTITUTION: A healthcare data collection unit(20) collects health-care data, and a healthcare data storage unit(22) stores the collected healthcare data. A healthcare data statistics analysis unit(24) generates the statistic records of the healthcare data, and extracts repeated information. A personal information setting unit(26) sets personal information. According to personal features, a customized service providing unit(28) provides a healthcare customized service.

Description

System and Method for user-specific healthcare service

The present invention relates to a system and method for recording health care data and analyzing patterns for daily life, and in particular, to record useful patterns by using real-time recording of food, sleep, emotions, activities, and behaviors for infants and toddlers. The present invention relates to a customized healthcare service system and method for providing customized healthcare services.

Due to Western eating habits, chronic diseases such as hypertension and diabetes have recently been increasing, and health problems of the elderly caused by an aging society and stress due to complex social phenomena are emerging as social and economic problems. Satisfaction with people's lives is decreasing due to improper lifestyle changes, and excessive medical bills are being expended due to inaccurate prescriptions and tests through visits to unnecessary hospitals and face-to-face care with doctors and health care professionals. .

Conventional daily life recording methods and devices are in the form of mostly calorie-limited calorie and provide information on exercise, nutrition, obesity using the same, and the input method for the user's life behavior record is from a variety of lists This is how you select an item. In today's complex society, however, you can manage your health simply by counting calories on foods, or you can keep track of changes in your body, such as bloating or diarrhea, irregular emotional changes and frequent stress and insomnia after eating certain foods. Face-to-face consultations with medical staff and health care professionals simply rely on memory, resulting in inaccurate prognosis and estimation of the disease.

In addition, the input method for recording the conventional living behavior is generally recorded in a non-real time through a personal computer or through the hassle and inaccurate input method of repeatedly selecting from a list of foods through a small screen of a mobile communication terminal. It is being recorded. Recently, with the development of the Internet and mobile communication technology, personal computer-class mobile communication phones (hereinafter referred to as smart phones), which have been improved in performance, have become widespread, and have been able to record living activities anytime and anywhere in real time through a convenient interactive user screen.

In addition to the selective input method of the list through a keyboard, pen, and mouse device, there may be an input method through voice, but this is an algorithm for learning and recognizing voice in advance, although it is possible to conveniently input living activities using a mobile communication terminal as voice. Is applied to a real environment, there is a problem that data collection is incorrect due to problems such as noise and different word pronunciation. In addition, food and drink can be input as an image using a camera of the mobile communication terminal. However, this method is a method of calculating the type of food and calories ingested by comparing the image before and after the intake of food, but it is a simple input method.However, it is necessary to determine the food or to automatically calculate the amount consumed for various containers. There is a problem that is very difficult.

The problem to be solved by the present invention is to solve the problems of the above-described list selection method, the lifestyle input method using audio and video and the lifestyle recording method limited to food and exercise, food, sleep on the user screen or the web of the smart phone Collects healthcare data by recording various life behaviors about emotions, activities, infants / infants in real time, and extracts useful patterns considering repeatability, sequentiality, and association among the collected healthcare data To provide a customized healthcare service system and method.

Personalized healthcare service system according to the present invention for solving the above problems, the food data ingested by the user through the user interface menu screen provided on a smart phone or a web browser, body state data such as indigestion, cold, and A healthcare data collection unit configured to collect healthcare data including at least one of emotion data such as joy and annoyance and physical activity data such as walking, exercise, and sleep; A healthcare data storage unit for storing the collected healthcare data; Generates a statistical record of the healthcare data, extracts the association of the occurrence frequency between the items constituting the healthcare data, the sequentiality of the order of occurrence between the items and the repeatability that occurs repeatedly over a certain number of times with the sequentiality Healthcare data statistical analysis unit; A personal information setting unit for setting personal information including a user's individual physical characteristics and a history of past diseases in order to provide a customized healthcare service; And a personalized service providing unit that provides a personalized health care service according to individual characteristics using statistical records of the health care data, the association, sequentiality and repeatability data, and personal information.

The health data collection unit food data collection unit for collecting data on the type and amount of food intake of the day, including snacks; A health data collection unit for collecting health state data such as indigestion, heartburn, headache, body aches, colds, diarrhea, anemia, and menstruation; An emotion data collection unit for collecting emotion change data such as joy, sadness, anger, surprise, fear, and irritation; And activity data collection unit for recording the time and the number of daily activities such as walking, canter, sleep, smoking, urine, exercise, drinking, the food data collection unit, health data collection unit, emotion data collection unit, activity data Data collection of the collection unit is preferably made by the user selecting a menu provided through the user interface menu screen provided on a smart phone or a web browser.

The activity data collection unit preferably further includes collecting data on the daily activities of the infant, infant, sleep, feeding, urine, feces, fever, dysthymic infants.

Personalized healthcare service method according to the present invention for solving the above problems, the food ingested by the user through the user interface menu screen provided on a smart phone or web browser, body state data such as indigestion, cold, Collecting and storing healthcare data including at least one of emotional data such as joy and annoyance and physical activity data such as walking, exercise, and sleep; Generating a statistical record of the healthcare data, the association of occurrence frequency between the items constituting the healthcare data, the sequentiality of the order of occurrence between the items, and the repeatability that occurs repeatedly over a certain number of times Extracting the; Providing a personalized healthcare service according to individual characteristics using statistical information of the healthcare data, the association, sequentiality and repeatability data, and personal information including a preset history of a user's past diseases. The healthcare data may include at least one of food data, health data, emotion data, and activity data. The healthcare data collection may be performed by a user selecting a menu provided through a user interface menu screen on a smartphone or a web browser. It is characterized by consisting of.

The healthcare personalized service is a depression information service for predicting the symptoms of depression using a repetitive and sequential pattern of emotion change through the emotion data; Pregnancy information service that provides pregnancy information on ovulation date, pregnancy period, pregnancy status using the menstrual date; Diet services to provide weekly meals for people with diabetes and hypertension; Calorie calculation / weight service for notifying calorie intake / consumption calories and weight change based on basal metabolic rate; And it is preferable to include at least one of the daily smoking information and the smoking smoking information service for the amount of drinking.

According to the personalized healthcare service system and method according to the present invention described above, the user can easily input various living behavior data and time information using a smart phone or the web anytime and anywhere conveniently, and history data of his behavior You can search for or use statistical information to systematically manage your daily life.

In addition, by using the user's basic physical data and disease information recommend a diet that fits the user's constitution, or through a customized service that recommends exercise according to the disease and emotional state can be provided with personalized services tailored to the individual.

In addition, when a user consults or confronts an expert such as a medical staff or a health care professional, the user may provide accurate life record data of the user through a smartphone, and the expert utilizes the history information and pattern information provided through the present invention. Accurate diagnosis and prognosis for the disease are possible.

In addition, unlike the prior art that stores and services by individual behaviors (sleep, food, exercise) of daily life, it analyzes comprehensive records and patterns of food, health, emotions, activities, and infant / infant life. This is because it is difficult to identify or predict the state of health in units of independent behavior because it is caused by multiple causes and effects.

As an embodiment utilizing the present invention (a) for the user of the constitution of diabetics with diabetes and hypertension, recommend a dinner based on the morning and lunch diet, or (b) considering the amount of food and exercise taken by the user today Provide calorie information, or (c) provide the user with alerts for depression using changes in the emotional state of the weather and their relationship to children, or (d) for women, with accurate records of menstrual onset dates. Provides information on ovulation date, fertility period and whether the medical staff has the advantage that can be prescribed by utilizing the hormonal period with a strong hormone secretion.

In addition, through the present invention, a chronic health care system for chronic patients and obese people is established to provide an effect of reducing medical expenses by preventing excessive medical expenses and continuous and preventive disease management of the general public due to unnecessary hospital visits.

1 is an overall system configuration of a method and apparatus for providing and recording the behavior of everyday life and analyzing the behavior pattern.
2 is a block diagram showing the configuration of an embodiment of a customized healthcare service system according to the present invention.
3 is a flowchart illustrating an embodiment of a customized healthcare service method according to the present invention.
4 is a flow chart according to a function that a user inputs to record a daily life activity on a smartphone or a server.
5 (a) is a main screen shown to the user of the present invention, Figure 5 (b) is a food register screen.
6 (a) is a screen for selecting the type and amount of rice in the food recorder, and FIG. 6 (b) is a screen for food addition list.
7 is a main screen and a storage screen for the health record book.
8 is a main screen and a storage screen for the emotion recording unit.
9 is a main screen and a storage screen for an activity record of a general adult.
10 (a) is an activity recorder dedicated to infants and toddlers, and FIG. 10 (b) is a search register screen for food, health, emotions, activities, and infant / infant life records.
Figure 11 (a) is a calorie statistics graph, Figure 11 (b) is a statistical graph of the activity of the amount of activity.
12 (a) is a statistical graph of the urine of the amount of activity, Figure 12 (b) is a graph of the sleep of the amount of activity.
Figure 13 (a) is a change graph for smoking, Figure 13 (b) is a change graph for drinking.
14 is an analysis result of a pattern rule for repeatability, sequentiality, and association for two or more independent items.
15 (a) is a screen for setting individual body characteristics and disease data of the user, and FIG. 15 (b) is a screen for setting rules for useful patterns and customized services.

DETAILED DESCRIPTION Embodiments of the present invention will be described in detail with reference to the accompanying drawings so that those skilled in the art may easily implement the present invention. The present invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. In the drawings, parts irrelevant to the description are omitted in order to clearly describe the present invention, and like reference numerals designate like parts throughout the specification.

Throughout the specification, when a part is "connected" to another part, this includes not only "directly connected" but also "electrically connected" with another element in between. . In addition, when a part is said to "include" a certain component, which means that it may further include other components, except to exclude other components unless otherwise stated.

Hereinafter, preferred embodiments of the present invention will be described in detail with reference to the accompanying drawings.

1 is a block diagram of an entire system to which a customized healthcare service system and method to which the present invention is applied are applied. Referring to FIG. 1, the user 1 may correspond to a general person, a chronic patient, an obese person, and the like. The user 1 records various living activities for food, sleep, emotions, and activities in real time using the smart phone 2.

The smartphone 2 has a limited data storage space to transmit data to a large-capacity server 4 via a wireless network. The server 4 stores data in the database 5, and the database 5 provides the analysis results to the server 4.

The user 1 can check the history information and the statistical information on the input data through the smart phone 2 or a web browser, and even when consulting with a professional 3 such as a medical staff, nutritionist or health care professional, 2) Alternatively, the server 4 may be connected to receive historical data and statistical information.

2 is a block diagram showing an embodiment of a customized healthcare service system according to the present invention, wherein the customized healthcare service system includes a healthcare data collection unit 20, a healthcare data storage unit 22, Health care data statistical analysis unit 24, personal information setting unit 26, and a personalized service providing unit 28 is made.

The healthcare data collection unit 20 is the food data ingested by the user through the user interface menu screen provided on a smart phone or a web browser, body state data such as indigestion, cold, and emotion data such as joy and annoyance. And collect healthcare data including at least one of physical activity data such as walking, exercise, sleep, food data collection unit 202, health data collection unit 204, emotion data collection unit 206, activity At least one of the data collector 208 is provided.

The food data collection unit 202 collects data on the type and amount of food of the diet ingested per day including snacks.

The health data collection unit 204 collects health state data felt by the body, such as indigestion, heartburn, headache, body aches, colds, diarrhea, anemia and menstruation.

The emotion data collection unit 206 collects change data of emotions such as joy, sadness, anger, surprise, fear, and irritation.

The activity data collection unit 208 records the time and the number of daily activities such as walking, canter, sleep, smoking, urine, exercise, drinking. The activity data collection unit may further include collecting data on the daily activities of infants and toddlers, such as sleep, feeding, urine, feces, fever, abnormal symptoms.

Data collection of the food data collection unit 202, health data collection unit 204, emotion data collection unit 206, activity data collection unit 208 is via a user interface menu screen provided on a smartphone or a web browser It is preferable that the user selects a menu to be provided.

The healthcare data storage unit 22 stores the collected healthcare data and its history.

The healthcare data statistical analyzer 24 generates a statistical record of the healthcare data, and has a correlation with the occurrence frequency between the items constituting the healthcare data, a sequentiality with respect to the occurrence order between the items, and the sequentiality. In addition, it extracts the repeatability that occurs repeatedly over a certain number of times, and comprises a history information calculation unit 242, statistical analysis information calculation unit 244 and regularity information calculation unit 246.

The history information calculator 242 shows the history data of the healthcare data stored in the healthcare data storage 22 on the screen based on the date and time. The statistical analysis information calculation unit 244 calculates the type, amount and amount of exercise intake of the food intake, graphing the distribution of calories in a graph, and about the changes in exercise, urine, urine, smoking and drinking of activity data. Shown on the screen as a graph. The regularity information calculating unit 246 displays the association, repeatability, and sequential rules for two or more items on the screen.

The personal information setting unit 26 sets personal information including a user's individual physical characteristics and a history of past diseases in order to provide a customized healthcare service.

The personalized service provider 28 provides a personalized health care service based on individual characteristics by using statistical records of the health care data, the association, sequentiality and repeatability data, and personal information, and the depression information service unit 282 ), The pregnancy information service unit 284, customized diet service unit 286, weight management service unit 288 and the drinking and smoking information service unit 289 is preferably provided.

The depression information service unit 282 predicts the symptoms of depression using a repetitive and sequential pattern of emotion change through emotion data.

Pregnancy information service unit 284 provides pregnancy information about the ovulation date, pregnancy period, and whether pregnant using the menstrual date.

Customized diet service unit 286 provides a weekly diet for diabetic and hypertensive patients.

The weight management service unit 288 informs the intake / consumption calorie calculation and weight change in consideration of food intake and exercise amount based on the basal metabolic rate.

The alcohol smoking information service unit 289 provides alcohol smoking information about the amount of daily smoking and the amount of alcohol consumed.

3 is a flowchart illustrating an embodiment of a customized healthcare service method according to the present invention. With reference to Figures 2 and 3 will be described in more detail the customized healthcare service system and method according to the present invention.

First, the healthcare data collection unit 20 is the food data ingested by the user through the user interface menu screen provided on a smart phone or a web browser, body state data such as indigestion, cold, and emotions such as joy and annoyance. Health data including at least one of the data and physical activity data such as walking, exercise, and sleep are collected and stored in the healthcare data storage 22 (step S310).

Then, the healthcare data statistical analyzer 24 generates a healthcare data statistics record by referring to the healthcare data in the healthcare data storage 22, and the occurrence frequency between the items constituting the healthcare data. Extracts the recurrence that occurs repeatedly over a predetermined number of times while having an association to, a sequential order of occurrences among items, and the sequentiality (step S320).

After the statistics and analysis of the healthcare data is finished, the personalized service providing unit 28 records the statistics of the healthcare data, the association, sequentiality and repeatability data, and the user's past set in advance through the personal information setting unit 26. Using a personal information including a history of the disease provides a personalized healthcare service according to the characteristics of the individual (step S330).

4 is a flowchart illustrating an example of a main function of a user 1 inputting data on daily living behaviors to a smart phone 2 or a server 4 through a user interface screen provided for collecting healthcare data. It is shown. The user interface menu displayed on the screen of the smart phone 2 includes food (100), health (200), emotion (300), activity (400), history (500), statistics (600), and preference (700). And personalized information 800.

The food data collecting unit 202 provides the user with the food menu 100 screen, and collects the food type and the amount of food data, the user interface for the food intake for breakfast, lunch, dinner and snacks Select or record on the screen to collect them.

The health data collection unit 204 provides the user with the health menu 200 screen, and the user is informed about the health status of indigestion, heartburn, and headache as the state felt by the user before and after meals and during normal times. It is collected when selected or recorded through the user interface screen.

The emotion data collection unit 206 provides the user with the emotion menu 300 screen, and collects when the user selects or records the change state data of the emotions felt by internal / external events during daily life through the user interface screen. do.

The activity data collection unit 208 provides the user with the activity menu 400 screen, and collects when the user selects or records the amount and the number of times of exercise, sleep, smoking, and drinking.

The history information calculator 242 allows the user to view the contents recorded up to the present time through the history menu 500 on the screen of the smart phone 2 through a search. Statistical analysis information calculation unit 244 displays the statistical menu 600 screen Unlike the history menu 500 screen which shows only the record through, the calculation information such as average, deviation, highest point and lowest point and change information over time are displayed on the screen in the form of time series data. The regularity information calculating unit 246 is associated with, for example, compatibility and sequentiality between foods suitable for the user's constitution, for example, diarrhea after eating, heartburn and repeatability, for example, pleasure->sadness->pleasure-> sadness. Provide an analysis result for

The personal information setting unit 26 records the information on the user's personal body and the presence or absence of the disease currently owned through the environment setting menu 700, and the data recorded through the environment setting menu is used for the patient-specific service. Used as basic data.

The personalized service providing unit 28 provides a menu of the environment setting 700 data input by the user and the food 100, the health 200, the emotion 300, and the activity 400 through the custom information menu 800. It provides a customized service based on the data entered through. For example, the personalized service recommends an evening meal based on a breakfast and lunch diet through a customized meal service unit 286, or a depression or other item based on a repeated pattern of emotion through the depression information service unit 282. It may include a service for transmitting a text message to the smart phone (2) for warning the symptoms.

FIG. 5 (a) shows a main screen provided to the user 1 by the smart phone 2 equipped with the customized healthcare service system according to the present invention. When a menu is selected, a corresponding item may be selected or inputted. To be. FIG. 5 (b) shows the lower menu, that is, the type of ingested food, when the food menu 100 is selected in FIG. 5 (a), and the user selects the corresponding food ingested.

6 (a) is provided to the user 1 when the user selects the food menu 100 in FIG. 5 (a) and selects rice / porridge 110 through FIG. 5 (b). This screen allows you to record the type and amount of rice you eat. In this case, when the amount is input, the unit can be input with the increase (116) and the decrease (117) button in the case of a bowl (1/2). This is merely an example, and the increment reduction unit may be changed as necessary.

FIG. 6 (b) is a screen showing a list of the type and amount of food entered above, and the user 1 may select the save button for all the food intake and store it in the server 4. For example, assuming that the user 1 ingested a bowl of barley rice and half a bowl of bean sprouts soup at lunch, select the food 100 in FIG. 5 (a) and the rice / porridge 110 in FIG. 5 (b). 6, select the barley rice 112 in Figure 6 (a) and click the increase (116) button to change 1/2 to a bowl (1/2-> 1), and again the upper menu of Figure 5 ( b) in the repetitive and continuous manner to select the soup 140 menu and select the half sprouts soup bowl, the food is ingested by the user (1), the added food is shown on the screen of Figure 6 (b) Finally, press the save button to save the healthcare data.

7 (a) and 7 (b) are the lower screens shown when the health menu 200 is selected in FIG. 5 (a), which is felt by the user 1's body during or after meals in daily life. Shows an example of the status and the screen to save the selected item. 8 (a) and 8 (b) illustrate a sub-screen that appears when the emotion menu 300 is selected in FIG. 5 (a), and illustrates a change state of emotions felt by internal / external events in daily life. For example, the emotional state can be selected or input at any time.

Figure 9 (a) and 9 (b) is a lower screen that appears when you select the activity menu 400 in Figure 5 (a), such as walking, canter, exercise time, sleep time, urine and feces, exercise type, Provides the ability to enter about the number of times for smoking and drinking.

As an example of the service provided by the personalized healthcare service system according to the present invention, the evening meal based on the morning and lunch diet for the user (1) of the constitution who is diabetic with diabetes and hypertension through the customized diet service unit 286 can do.

In addition, the weight management service unit 288 may provide overall calorie information in consideration of the amount of food and exercise taken by the user today. In addition, the depression information service unit 282 may provide a warning service for depression by using the emotional state change according to the relationship between the weather and the children for the user. In addition, through the Pregnancy Information Service Department (284), women can provide information on ovulation days, fertility periods, and whether they are pregnant through accurate records of menstruation start dates. There is an advantage.

FIG. 10 (a) illustrates selecting or recording an infant life data menu for collecting infant / infant life 510 data, and includes sleep time 520, lactation 530, and urine 540 in comparison with general adults. ), Columns 570, and anomalies 580 require detailed selection or recording, and in particular the color of the stool 550 plays a very important role for the medical staff so that the captured picture can be stored on the server (560). It is. FIG. 10 (b) illustrates a screen in which the user 1 divides records of food 100, health 200, emotion 300, and activity 400 by time zone and items to retrieve historical data. Drawing.

FIG. 11 (a) shows a graph of calorie change according to food intake and exercise amount, and FIG. 11 (b) shows a change graph for exercise amount such as canter and walking. FIG. 12 (a) shows a graph of change in urine frequency, and FIG. 12 (b) shows a graph of change in sleep time. FIG. 13 (a) shows a change graph for the number of daily smoking, and FIG. 13 (b) shows a change graph for the type and amount of drinking.

FIG. 14 illustrates a screen of a result of extracting a useful pattern that has not been known in advance by using data on daily life behavior records, and extracts association, sequentiality, and repeatability information through the regularity information calculating unit 246.

The association 670 relates to a rule about an event that frequently occurs together between two or more items. For example, a user (1) who consumes Maeuntang and kimchi shows diarrhea and heartburn after a certain time and is blurred. Feelings of sadness in cold or rainy weather mean that two or more independent events are linked by cause and effect. An example of the association pattern exploration method is' R. Agrawal, and R. Srikant. Fast algorithms for mining association rules. In Proc. of the 20th Int'l Conference on Very Large Databases, Sept. It can be explored using the Apriori method proposed in 1994.

The sequentiality 690 is composed of a sequence of occurrences between two or more daily life events, and extracts type information frequently occurring more than a predetermined number of times for frequently occurring items in a data set. For example, after the user ingests bibimbap, heartburn and indigestion often occur sequentially or after a headache is felt, a phenomenon in which the phenomenon of cold and body fat changes according to the order of time.

The repeatability 680 is an extension of the sequential rule to extract type information that is repeated a certain number of times while having two or more items having sequential regularity. For example, the change in emotion tends to be joy-> sadness-> Angry-> If you repeat three or more times a day or a week with joy may be suspected early symptoms of depression can alert you.

An example of a mining method for searching for the sequential 690 and repeatability 680 patterns is' R. Agrawal and R. Srikant. Mining Sequential Patterns. In Proc. of the Int'l Confernce on Data Engineering, pages 3-14, Mar. It can be explored using the method suggested in 1995.

FIG. 15 (a) relates to a screen set by the user 1 for characteristics and diseases of the body before recording of the living behavior, and FIG. 15 (b) shows the characteristics of the user recorded in the preference 710. FIG. Accordingly, a screen for providing a personalized service 810 based on data on living activities recorded to date is illustrated.

The user selects or inputs the height and weight of the user 1 through an environment setting menu 710 provided by the personal information setting unit 26, and a body mass index is measured by using Equation 1 to measure obesity. Equation 2 provides the user with this value, and the food that fits obesity and Equation 2 is a comprehensive graph of weight change in consideration of the basic metabolic amount according to the body mass index of the personal information, the calorie intake according to the diet, and the calorie consumed through exercise Can be provided to the user.

Diseases provided by the environment setting menu 710 are largely classified into cancer, cerebrovascular disease, heart disease, diabetes, cancer is divided into lung cancer, stomach cancer, liver cancer, breast cancer, leukemia and the like, cerebrovascular disease is cerebral hemorrhage, cerebral infarction, As a stroke, heart disease is divided into hypertension, kidney failure, rubella, arrhythmia, Down syndrome, Lyme disease, and diabetes is checked. For each disease, the user may select a disease that the user has, and recommends a diet by excluding foods that are not suitable for various diseases set in the environment setting 710, and provides necessary information as a customized information message 810. Do.

Personalized healthcare service system and method according to the present invention can be developed in the form of an application program that can be installed on the smart phone by an interactive user input method, healthcare data input can be implemented by selecting by pressing a corresponding item with a finger.

Prior to using the application implemented by the customized healthcare service system according to the present invention, after selecting or entering the user's body data and the disease data retained in the configuration menu for personal information setting, the food and intake repeatedly ingested Health care data collection can be implemented by selecting a user, selecting or inputting a health state and an emotional state, and providing a user interface screen for selecting or inputting an activity action and a time. The healthcare data collection may be performed through selection or input selectively from the highest level to the lower level, and may be implemented by repeatedly selecting or inputting one or more highest level actions. Collected healthcare data is statistically analyzed to allow users to easily recognize trends in health care data changes, and extracts rules such as repeatability, sequentiality, and relevance of useful information from users. To provide useful patterns.

The present invention can be embodied as code that can be read by a computer (including all devices having an information processing function) in a computer-readable recording medium. The computer-readable recording medium includes all kinds of recording devices in which data that can be read by a computer system is stored. Examples of computer-readable recording devices include ROM, RAM, CD-ROM, magnetic tape, floppy disk, optical data storage, and the like.

Although the present invention has been described with reference to the embodiments shown in the drawings, this is merely exemplary, and it will be understood by those skilled in the art that various modifications and equivalent other embodiments are possible. Therefore, the true technical protection scope of the present invention will be defined by the technical spirit of the appended claims.

1: User 2: Smartphone 3: Expert 4: Server
5: database 20: healthcare data collector
22: healthcare data storage unit 24: healthcare data statistical analysis unit
26: personal information setting unit 28: personalized service provider

Claims (7)

Through the user interface menu screen provided on the smartphone or web browser, the food data ingested by the user, body state data such as indigestion and cold, emotional data such as joy and irritability, and body such as walking, exercise, and sleep A healthcare data collector configured to collect healthcare data including at least one of activity data;
Healthcare data storage unit for storing the collected healthcare data
Generates a statistical record of the healthcare data, the correlation information on the frequency of occurrence between the items constituting the healthcare data, the sequential information on the order of occurrence between the items and repeatability that occurs repeatedly over a certain number of times with the sequentiality Healthcare data statistical analysis unit for extracting information;
A personal information setting unit for setting personal information including personal physical characteristics of the user and a history of past diseases in order to provide a customized healthcare service;
And a personalized service provider for providing a healthcare customized service according to individual characteristics using statistical records of the healthcare data, the correlation information, sequential information and repeatability information, and personal information.
The healthcare data statistical analysis unit
A history information calculator configured to display history data of the healthcare data stored in the healthcare data storage on a screen based on a date and a time;
Calculating the type, amount of food ingested and the amount of exercise ingested, and displaying a change distribution of calories in a graph, and a statistical analysis information calculating unit for graphing changes in daily activities such as exercise, urine, urine, smoking, and drinking; And
Personalized healthcare service system comprising a regularity information calculation unit for displaying the association, repeatability, sequential rules for the two or more items on the screen.
The method of claim 1, wherein the health data collector
Food data collection unit for collecting data on the type and amount of food in the diet, including a snack per day;
A health data collection unit for collecting health state data such as indigestion, heartburn, headache, body aches, colds, diarrhea, anemia, and menstruation;
An emotion data collection unit for collecting emotion change data such as joy, sadness, anger, surprise, fear, and irritation; And
It includes an activity data collection unit for recording the time and frequency of daily activities such as walking, canter, sleep, smoking, urine, exercise, drinking,
Data collection of the food data collecting unit, the health data collecting unit, the emotion data collecting unit, and the activity data collecting unit is performed by the user selecting a menu provided through a user interface menu screen provided on a smart phone or a web browser. Customized healthcare service system.
The method of claim 2, wherein the activity data collection unit
Personalized healthcare service system further comprising collecting data on the daily activities of infants, infants, sleep, urine, feces, fever, dystonia.
(delete)
The method of claim 1, wherein the custom service provider
Depression information service unit for predicting depressive symptoms using repetitive and sequential patterns of emotion change through emotion data;
Pregnancy information service unit for providing pregnancy information on ovulation date, pregnancy period, pregnancy status using the menstrual date;
Customized diet service department that provides a weekly diet for diabetic and hypertension patients;
A weight management service unit for notifying calorie intake / consumption and weight change in consideration of food intake and exercise based on basal metabolic rate; And
Personalized healthcare service system comprising at least one of the smoking smoking information service for providing information on the amount of daily smoking and drinking.
Through the user interface menu screen provided on the smartphone or web browser, the food data ingested by the user, body state data such as indigestion and cold, emotional data such as joy and irritability, and body such as walking, exercise, and sleep Collecting and storing healthcare data including at least one of activity data;
Generates a statistical record of the healthcare data, iteratively generated more than a certain number of times having association information on the frequency of occurrence between the items constituting the healthcare data, sequential information on the order of occurrence between the items and the sequentiality Extracting repeatability information;
Providing a personalized healthcare service according to individual characteristics by using the statistical record of the healthcare data, the association information, the sequential information and the repeatability information, and personal information including a history of a past disease of a user. Including,
The healthcare data includes at least one of food data, health data, emotion data, and activity data, and the healthcare data collection includes a user selecting a menu provided through a user interface menu screen provided on a smart phone or a web browser. and,
Statistical data on the health care data is a graph of the distribution of calories by calculating the type of food intake, amount and the amount of exercise, and changes in activity data for daily activities such as exercise, urine, urine, smoking and drinking. Customized healthcare service method, characterized in that made by the graph.
The method of claim 6, wherein the healthcare personalized service
Depression information service for predicting symptoms of depression using repetitive and sequential patterns of emotion change through emotion data;
Pregnancy information service for providing pregnancy information on the ovulation date, pregnancy period, pregnancy status using the menstrual date;
Diet services to provide weekly meals for people with diabetes and hypertension;
Calorie calculation / weight service for notifying calorie intake / consumption calories and weight change based on basal metabolic rate; And
Personalized healthcare service method comprising at least one of the daily smoking amount and the smoking smoking information service for the amount of alcohol.

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