WO2016171542A1

WO2016171542A1 - Lifestyle tracking system

Info

Publication number: WO2016171542A1
Application number: PCT/MY2016/050027
Authority: WO
Inventors: Chu Kiong LOO; Dee Dee Ayra Salle MAHMOOD
Original assignee: Universiti Malaya
Priority date: 2015-04-23
Filing date: 2016-04-22
Publication date: 2016-10-27
Also published as: MY174755A

Abstract

Lifestyle tracking system having an electronic platform for managing behavioural change of a user comprising a user terminal (10), a third party entity server (30), a platform server (20), all linked to the communication network. The user terminal (10) collects and/or provides information relating to the user. The third party entity server (30) provides third party information and/or obtains information from the user and/or another third party entity. The platform server (20) receives information from the user terminal (10) and the third party entity server (30) which is used to construct a user profile, generate a user prediction profile, a user health and lifestyle rating profile, and a user lifestyle recommendation profile based on the user profile, and send the user prediction profile, the user health and lifestyle rating profile, and/or a user lifestyle recommendation profile for display at the user terminal (10) and/or the third party entity server (30), and compute user compliance with the lifestyle recommendations based on subsequent information collected by the user terminal (10).

Description

Lifestyle Tracking System

1

FIELD OF INVENTION The invention relates to a lifestyle companion system. More particularly, the invention relates to an artificial intelligence system for changing user's behaviour and method thereof.

BACKGROUND OF THE INVENTION

The conventional lifestyle companion systems only focus on one aspect of a person's experiences. These sorts of systems do not intelligently incorporate information from different channels and integrate multiple aspects of a person's experiences. For example, these systems often treat the end user as a passive instruction follower without considering whether the end user has the capability of performing the set of instructions and hence limiting their usefulness. As a result, these systems cannot intelligently generate effective instructions or information to assist the user in achieving their health and fitness goals. There are a few patented technologies over the prior art relating to the vibration- damping system. Of interest in respect to a method and apparatus for health and disease management combining patient data monitoring with wireless internet connectivity is US6936007B2. The patent discloses a method and apparatus for interactively monitoring the disease or health state of a patient using a health management device, coupled to an internet-enabled wireless web device to capture health parameters, such as vital signs or exercise outcomes, and to transmit the captured data to a central repository via a wireless network and to facilitate the delivery of a response to the user. However, the referenced design is highly practitioner-driven, encompasses only selected enablers of health and wellness, and does not focus on the driver of plan compliance.

Another method and apparatus for managing a user's health is disclosed in US20050113649A1. This teaching, however, focuses primarily on the nutritional and dietary requirements and activity of the end user, is not configured to allow practitioner generation of integrated lifestyle plans, nor does it incorporate functionality intended to drive plan compliance, such as rewards or the capability of sharing plans and results with a broader community. Accordingly, it would be desirable to provide a system that incorporate an artificial intelligent that can bridges numerous corridors of information and perform self- training to maximize efficiency and usefulness of the generated recommendations. This invention provides such a system and method thereof.

SUMMARY OF INVENTION

The main objective of the invention is to provide users with predictive informatics such as future self projection so as to alert or to warn the users about their future self so that the users will be motivated and consequently increase the willingness of the users to change their current behaviour or lifestyle. To achieve this objective, the invention provides an electronic platform for behaviour change. The platform is incorporated with functions such as predictive module configured to project user's future self, supportive accountability healthcare management system configured to intelligently recommend lifestyle choices and activities to the user based on data collected from the user, to further provide electronic intervention for the user to engage or to interact with professional bodies electronically, and to identify or analysis the important causalities from the user's current lifestyle habits and vital signals, and a rating module configured to provide the users with indications of their current progress.

The invention provides an electronic platform for managing behavioural change of a user comprises at least one user terminal linked to a communication network, configured to collect and/or to provide information relating to the user, at least one third party entity server linked to the communication network, configured to provide third party information and/or to obtain information from the user and/or another third party entity, and a platform server connected to the user terminal and the third party entity server via the communication network, configured to receive information from the user terminal and the third party entity, process and filter the received information for constructing a user profile for the user, generate a user prediction profile, a user health and lifestyle rating profile, and a user lifestyle recommendation profile based on the user profile, send the user prediction profile, the user health and lifestyle rating profile, and/or a user lifestyle recommendation profile to the user terminal to be displayed and/or the third party entity server, and compute the user compliance with the lifestyle recommendation based on the subsequent information collected by the user terminal.

Preferably, the user terminal is a user device such as a personal digital assistants (PDA), smart phones, tablets, laptops, netbooks, phablets, phoblets, computers, or any suitable means which capable of receiving inputs from the user, processing the data, and performing data transmission. The user device can be connected to at least one sensor for acquiring information relating to the user, whereby the sensor can be a heart rate sensor, a respiration sensor, a temperature sensor, a acoustic sensor, a brain wave sensor, a blood pressure sensor, a vibration sensor, a posture detector, an accelerometer, a gyroscope sensor, a magnetometer sensor, a motion sensor, or in any combination thereof.

Alternatively, the user terminal can be a kiosk terminal provided with input means for the user to input the user information, whereby the kiosk terminal may be provided with a near field communication (NFC) reader allowing the kiosk terminal to establish a communication link with the user device for a direct data transfer, a display unit for displaying the information from the platform server, a cable port for the user device to be connected to the kiosk terminal, a docking station for the user device to be directly connected to the kiosk terminal.

In preferred one embodiment of the invention, the system further comprises at least one display unit connected to the platform server via the communication network for receiving and displaying the information from the platform server.

In another preferred embodiment of the invention, the third party entity server comprises a third party database for storing third party information and/or information provided by the platform server, and a third party server module to process received data, to convert the third party information into a format suitable for the platform server to process, and to manage the flows of data. The third party entity can be a fitness institution, a medical centre, a pharmacy, a health care institution, a research institution, a medical specialist institution, an event provider, a nutrition institution, an advertisement provider, or in any combination thereof.

In another embodiment of the invention, the user terminal, the platform server, and the third party entity server may be connected to each other through a wired or wireless connection. In another preferred embodiment of the invention, the platform server of the system comprises a platform server database for storing received information and/or generated information, a data conversion module for converting the received information into executable format, wherein the data conversion module converts the outflow data into a suitable format for the user terminal and/or the third party entity server to process and display, a web server for providing a web-based user interface, a calorie calculator engine for calculating daily caloric requirements of the user, a body mass index calculator engine for measuring the user body fat based on weight and height of the user, a skinfold calculator engine for determining the user body fat percentage, a rating engine for generating the user health and lifestyle rating profile based on the user profile, a profile screening module for assigning a normative value to each element of the user profile, a survival probability prediction engine for providing survival probability prediction equations and models, a supportive accountability healthcare management system for managing and monitoring user behaviour and providing interventions electronically to the user, and a prediction module configured to generate a graphical trend displaying at least one outcome of the user's physical and health conditions.

Preferably, the calorie calculator engine comprises a computer-executable instruction for acquiring information relating to the gender of the user from the user profile, a computer-executable instruction for computing the activity level based on the user gender, a computer-executable instruction for performing a resting metabolic rate prediction, and a computer-executable instruction for updating the result to the user profile.

Preferably, the body mass index calculator engine comprises a computer-executable instruction for acquiring information relating to the height and weight of the user from the user profile, a computer-executable instruction for computing the body mass index based on the user height and weight, and a computer-executable instruction for updating the result to the user profile.

Preferably, the skinfold calculator engine comprises a computer-executable instruction for acquiring information relating to the skinfold data and gender of the user from the user profile, a computer-executable instruction for performing the skinfold measurement based on the acquired information, and a computer-executable instruction for updating the result to the user profile.

Preferably, the rating engine includes normative values for rockport walking test based on the gender of the user, normative values for endurance running based on the gender of the user, normative values for step test based on the gender of the user, normative value for curl up test based on the gender of the user, normative value for bodyweight squats based on the gender of the user, normative value for lower body exercise, normative value for upper body exercise, normative values for jump test, normative values for resting heart rate based on the gender of the user, and normative values for each nutritional activity based on the gender of the user.

Preferably, the rating engine comprises a computer-executable instruction for comparing computed information with those normative values of the rating engine, a computer-executable instruction for determine the scores based on the comparison, and a computer-executable instruction for updating the result to the user health and lifestyle rating profile.

Preferably, the supportive accountability healthcare management system comprises a computer-executable instruction for extracting information from the user profile, a computer-executable instruction for performing the analysis based on the acquired information, a computer-executable instruction for determining a suitable third party entity server for the interventions, and a computer-executable instruction for transmitting a request message to the user device for the user to initiate a communication channel between the third party entity server and the user device.

In another preferred embodiment of the invention, the supportive accountability healthcare management system includes a bayesian adaptive case-based reasoning system for assisting in problem resolution. Preferably, the Bayesian adaptive case-based reasoning system comprises a computer- executable instruction for extracting features of a problem, a computer-executable instruction for finding the solution by comparing the extracted features with data of a solution database, a computer-executable instruction for requesting an operator of the system to provide suitable solution to the problem in the event of no solution is found, and a computer-executable instruction for updating the solution database with the provided solution by the operator. Preferably, the prediction module comprises a computer-executable instruction for checking the user compliance information, a computer-executable instruction for performing a prediction algorithm based on the user compliance information, and a computer-executable instruction for generating the graphical trend to display the at least one outcome of the user's physical and health conditions.

One skilled in the art will readily appreciate that the invention is well adapted to carry out the objects and obtain the ends and advantages mentioned, as well as those inherent therein. The embodiments described herein are not intended as limitations on the scope of the invention.

BRIEF DESCRIPTION OF THE DRAWINGS

For the purpose of facilitating an understanding of the invention, there is illustrated in the accompanying drawing the preferred embodiments from an inspection of which when considered in connection with the following description, the invention, its construction and operation and many of its advantages would be readily understood and appreciated. is a chart illustrating the main factors of lifestyle. is a diagram illustrating the multivariate time series sensory data regarding the three factors of lifestyle. is a block diagram illustrating the process flow of the electronic platform. is a schematic diagram illustrating the electronic platform which embodies therein the principle features of the invention. is a schematic diagram illustrating the supportive accountability framework of the electronic platform. is a flow chart diagram illustrating the process flow of the Bayesian adaptive case-based reasoning system.

DETAILED DESCRIPTION OF THE INVENTION

The invention will now be described in greater detail, by way of example, with reference to the drawings.

Referring to figure 1, the three main factors of lifestyle is illustrated. Major causes of mortality in old age are diseases in which lifestyle plays an important role. The main behavioral factors of concern, namely diet and nutrition, daily activity and exercise, and rest and sleep are a major focus of the present invention for forming health improvement strategies. It is believed that there should be an important causality between the lifestyle habits and vital signs. Improving lifestyle habit is the essential solution for a lifestyle disease based on the individualized causality among vital signs and lifestyle habit such as weight, sleep, and active mass. Therefore, changing the combination of these factors in a positive manner shall results a healthier lifestyle pattern. To achieve this purpose, the measurement of these factors should be taken on a daily basis or even in real time at home and in medical field.

Referring to figure 2, the multivariate time series data and the causality is illustrated. Important causality among the lifestyle habits and vital signals such as blood pressure, blood glucose, and blood adipose can be realized by the multivariate time series data. The sensory data are used for composing the causality that can be applied to prevent diseases and to improve health. Preferably, blood pressure is used as an important index of health condition as it is closely associated with cardiovascular events such as brain infarction, stroke, myocardial infarction, and heart failure. Also, blood pressure can be easily measured at home and medical facilities. There are also a few more useful indices related to lifestyle which are weight, active mass, and sleep condition. Weight could be used as one of alternative reference indices for quality and quantity of diet in life. An active mass monitor can be used to measure types, intensity, and quantity of exercises and other activities in daily life. Sleep condition monitor can be used to measure the quality and quantity of sleep. The cause-effect structure derived from the data will provide important knowledge for diagnosis and prognosis of personalized health conditions. For instance, continuous and well active mass would have good influence on weight and sleep to realize the stability of blood pressure.

Referring to figure 3, the general process flow of the invention is shown. The process flow comprises the steps of collecting data from the user through any possible sensing means, providing a rating for user health condition, user nutrition condition, and user physical condition based on the collected data through a rating module, generating a prediction trends for the user to foresee their future self, applying a supportive accountability healthcare manage system to provide data training, e-intervention, and recommendation relating to health, nutrition, and fitness and activities so as to change the user's current behaviour or lifestyle.

The present invention provides an artificial intelligence system for changing multiple users' health, dietary habit, and lifestyle. The system is an electrical platform for collecting the abovementioned measurements and further processing and converting the senseless data into meaningful picture of user's health. Furthermore, the system can intelligently recommend lifestyle choices and activities based on the data collected from the user, and further checks the user's compliance with the lifestyle recommendation. It is also capable of data training to improve the accuracy of health prediction and lifestyle recommendation. Comparing it with the legacy systems such as VivoSmart and Atlas wearables, features which the legacy systems do not possess are as follow: a health score system which calculates the health index of the user, a prediction module which provides predictive information, a behavioural changes supportive system which provides electronic intervention, communication system, and motivation to the user, and a third party entity program such as fitness coaching program.

Referring to figure 4, the electrical platform as illustrated therein comprises at least one user terminal 10 linked to a platform server 20, configured to collect information relating to the user, at least one third party entity server 30 linked to the platform server 20, configured to provide third party information and/or to obtain information from the user and/or another third party entity 30, and whereby a platform server 20 is configured to receive information from the user terminal 10 and the third party entity 30, process and filter the received information for constructing a user profile for the user, generate a user prediction profile, a user health and lifestyle rating profile, and a user lifestyle recommendation profile based on the user profile, send the user prediction profile, the user health and lifestyle rating profile, and/or a user lifestyle recommendation profile to the user terminal 10 to be displayed and/or the third party entity server 30, and compute the user compliance with the lifestyle recommendation based on the subsequent information collected by the user terminal 10.

The user terminal 10 can be a user device such as a personal digital assistants (PDA), smart phones, tablets, laptops, netbooks, phablets, phoblets, computers, or any suitable means which capable of receiving inputs from the user, processing the data, and performing data transmission. The user terminal 10 is connected to a communication network which is linked to the platform server 20. The link between the network and the user device may be established through a wired or wireless connection. Preferably, the communication network is a wireless network connection established via a wireless protocol cloud.

In another embodiment of the invention, the user terminal 10 can also be an interactive kiosk terminal which may be strategically placed in fitness centre, shopping complexes, merchants' stores, mass transit stations, restaurant, and etc. The kiosk terminal may include comprise a plurality of buttons to allow the user to select the options displayed by at least one display screen or to key-in information of the same. However, the buttons may not be required if the display screens are touch screens or other input/output devices. The kiosk terminal may a near field communication (NFC) reader allowing the kiosk terminal to establish a communication link with the user device or even the sensing unit for a direct data transfer. Furthermore, the kiosk terminal may also be provided with a cable port or docking station allowing the user device to be wiredly connected to the kiosk terminal for data transference. The kiosk terminal may also include biometric identification means such as fingerprint scanner, microphone, retina scanner, or camera with face recognition software for measuring and detecting facial change.

Preferably, the user terminal 10 is installed with the system application downloadable from the platform server 20, configured to provide a user interface for the user to key- in information or wiredly or wirelessly receive information from at least one sensing unit of the user. Such information includes, but not limited to information about the medications the user is taking, the user's physical conditions and limitations, illnesses, medical conditions, and/or risk factors, fitness progress, trend of heartbeat rate, breathing metrics, diet habits, and etc. The system application may also interactively conduct an interview section with the user to acquire information relating to age, gender, weight, race, spirituality/religion, identity (e.g., sense of belonging), relationships, family history, career, financial condition, environment, hobbies, interests, other personal information, and goals regarding the same, and accessibility to exercise equipments.

The sensing unit can be a wearable band or fitness/activity tracker integrated with heart rate sensor, respiration sensor, temperature sensor, acoustic sensor, brain wave sensor, blood pressure sensor, vibration sensor, posture detector, accelerometer, gyroscope sensor, magnetometer sensor, or motion sensor to measure and track user's physical condition, activities, and lifestyle information, and then convert the information into digital signals for further transmission.

In one preferred embodiment of the invention, the platform server 20 is established by one or more heavy duty computers for receiving data, processing the received data, and transferring generated data to the user terminal 10, and any known devices or group of devices to provide sufficient capacity for storing data. The platform server 20 is installed with a plurality of modules to perform the required tasks. These modules include but not limited to a data conversion module, a web server module, a rating module 22, a supportive accountability healthcare management system 23, calculator engines, a prediction module 21, and third party module.

Preferably, the third party module is configured to regulate and govern the transference of data between the third party entity servers 30 and the platform server 10. Before any data transmission, an instruction signal in form of digital strings is generated or received to obtain permission for data transfer. Once permission is granted, the data conversion module according to the instruction converts the data into a format suitable for the platform server 20 or third party entity server 30 to process.

The web server module is a module that manages the web-based interface of the platform server 20. The web-based interface allows the users to interactively communicate or transfer data. Through the web server module and the web-based interface, the user can also directly communicate with his/her designated third party entity such that the effects of intervention can be achieved.

Referring to the figure 5, the supportive accountability healthcare management system 23 as illustrated therein comprises a supportive accountability framework and a Bayesian adaptive case-based reasoning system. The supportive accountability framework is a framework for modelling the way in which human relationships can best support interventions electronically. The model asserts that adding a human support element such as health-care professional, fitness instructor, nutritionist, and etc to the e-interventions will enhance user adherence. The human element is conceptualized as sympathetic, trusted, and credible person who the user feels accountable to and who will deliver a program of support and motivation that best matches the user's specific needs. The human support element increases the user's sense of autonomy over time and, thus, reduces the user's reliance on the relationship to sustain the intervention. The supportive accountability framework can be implemented in a number of different ways, and incorporating a variety of different models and technologies. However, the various embodiments of the framework have some common steps. The framework comprises the steps of establishing communication between the third party entity server 30 and the user device; transmitting the user profile to the third party entity server 30; generating, via the third party entity, a health and lifestyle trend of the user projecting the future and a program/recommendation suitable for the user based on the user profile; transmitting the generated information to the user device through the platform server 20; periodically or in real time checking for the compliance of the user to the program or recommendation; and adjusting the program or recommendation based on the updated information if needed.

Referring to figure 6, the flowchart illustrates the process flow of the Bayesian adaptive case-based reasoning system. The Bayesian adaptive case-based reasoning system is a system for solving new problems based on the solutions of similar past problems. The system involves an engine for the automation of solving problem based on historical solutions to similar problems and the human support element to provide the most suitable solution. Preferably, the engine is a fuzzy ARTMAP. The process of the system comprises the steps of: receiving a problem; identifying a solution to the problem based on historical solutions to similar problems; checking if the problem is solved; consulting a third party entity for a correct solution if the problem is yet to be solved; and updating the solution to a database. Effectively, a self-learning artificial intelligence architecture is provided. The calculator engines are engines for measuring and computing health and lifestyle index and then updating this information to the user profile. These engines convert the collected information of the user into sensible metadata. The platform server 20 may comprise a calorie calculator engine, a body mass index calculator engine, a skinfold calculator engine, and etc.

Preferably, the calorie calculator engine comprises the steps of: acquiring information relating to the gender of the user from the user profile, computing the activity level based on the user gender, performing a resting metabolic rate prediction, and a updating the result to the user profile. Advantageously, the body mass index calculator engine comprises the steps of: acquiring information relating to the height and weight of the user from the user profile, computing the body mass index based on the user height and weight, and updating the result to the user profile.

Preferably, the skinfold calculator engine comprises: acquiring information relating to the skinfold data and gender of the user from the user profile, performing the skinfold measurement based on the acquired information, and updating the result to the user profile.

The rating engine 22 generates the user health and lifestyle rating profile based on the user profile. The rating engine includes a profile screening module for assigning a normative value to each element of the user profile. The normative values are, but not limiting to normative values for rockport walking test based on the gender of the user, normative values for endurance running based on the gender of the user, normative values for step test based on the gender of the user, normative value for curl up test based on the gender of the user, normative value for bodyweight squats based on the gender of the user, normative value for lower body exercise, normative value for upper body exercise, normative values for jump test, normative values for resting heart rate based on the gender of the user, normative values for each nutritional activity based on the gender of the user.

Preferably, the process of the rating engine 22 comprises the steps of: comparing computed information with those normative values of the rating engine, determine the scores based on the comparison, and updating the result to the user health and lifestyle rating profile. In addition to that, the final overall health score aggregates the following four indices: blood pressure index, metric health score, quality of life, and health screening index. The score can be ranged from 0 to 1000 to indicate the user's overall level of fitness.

The survival probability prediction engine provides survival probability prediction equations and models. These equations includes but limited to Reynolds risk score formulas for predicting heart attack, stroke, angioplasty (balloon surgery to open an artery), coronary artery bypass surgery, or death related to heart disease, fatal cardiovascular disease estimation formulas, Framingham risk equations, cardiovascular risk score formulas. The third party entity can be professional body that's provides professional advisory and external information to the user through the platform server 20. The third party entity can be fitness institutions, medical centres, pharmacies, health care institutions, research institutions, medical specialist institutions, and nutrition institutions. These professional bodies are capable of providing information relating to medical records of user, fitness, nutrition, medication, advisory, and etc. The third party entity can also be an advertisement provider or event providers.

In one preferred embodiment of the invention, the prediction module 21 is configured to generate a graphical trend displaying at least one outcome of the user's physical and health conditions. The process of the prediction module 21 comprises the steps of: performing a prediction algorithm based on the user profile information, generating the graphical trend to display the at least one outcome of the user's physical and health conditions. The prediction algorithm may also incorporate opinions of the third party entity to improve the accuracy of the estimation.

The platform server 20 caters for bridging different third party entities together to form a multi-channels information exchanging hub. Information from different channels can be combined to form a more comprehensive user profile for the user and hence increase the usefulness and accuracy of the provided recommendations. For example, a fitness instructor can actually liaise with a medical doctor and a nutritionist to come out with a more comprehensive plan/recommendation which suits the user better. Furthermore, based on the provided plan/recommendation, the advertisement provider or the event provider can notify the user those related advertisements or events.

The present disclosure includes as contained in the appended claims, as well as that of the foregoing description. Although this invention has been described in its preferred form with a degree of particularity, it is understood that the present disclosure of the preferred form has been made only by way of example and that numerous changes in the details of construction and the combination and arrangements of parts may be resorted to without departing from the scope of the invention.

Claims

1. An electronic platform for managing behavioural change of a user comprising: at least one user terminal (10) linked to a communication network, configured to collect and/or to provide information relating to the user;

at least one third party entity server (30) linked to the communication network, configured to provide third party information and/or to obtain information from the user and/or another third party entity; and

a platform server (20) connected to the user terminal and the third party entity server (30) via the communication network, configured to:

receive information from the user terminal (10) and the third party entity server (30), process and filter the received information for constructing a user profile for the user, generate a user prediction profile, a user health and lifestyle rating profile, and a user lifestyle recommendation profile based on the user profile,

send the user prediction profile, the user health and lifestyle rating profile, and/or a user lifestyle recommendation profile to the user terminal to be displayed and/or the third party entity server (30), and

compute the user compliance with the lifestyle recommendation based on the subsequent information collected by the user terminal (10).

2. An electronic platform according to claim 1, wherein the user terminal (10) is a user device such as a personal digital assistants (PDA), smart phones, tablets, laptops, netbooks, phablets, phoblets, computers, or any suitable means which capable of receiving inputs from the user, processing the data, and performing data transmission.

3. An electronic platform according to claim 2, wherein the user device is connected to at least one sensor for acquiring information relating to the user.

4. An electronic platform according to claim 3, wherein the sensor is a heart rate sensor, a respiration sensor, a temperature sensor, a acoustic sensor, a brain wave sensor, a blood pressure sensor, a vibration sensor, a posture detector, an accelerometer, a gyroscope sensor, a magnetometer sensor, a motion sensor, or in any combination thereof.

5. An electronic platform according to claims 1, wherein the user terminal (10) is a kiosk terminal provided with input means for the user to input the user information.

6. An electronic platform according to claim 5, wherein the kiosk terminal is provided with a near field communication (NFC) reader allowing the kiosk terminal to establish a communication link with the user device for a direct data transfer.

7. An electronic platform according to claim 5 or claim 6, wherein the kiosk terminal is provided with a display unit for displaying the information from the platform server.

8. An electronic platform according to any one of claims 5 to 7, wherein the kiosk terminal is provided with a cable port for the user device to be connected to the kiosk terminal.

9. An electronic platform according to any one of claims 5 to 8, wherein the kiosk terminal is provided with a docking station for the user device to be directly connected to the kiosk terminal.

10. An electronic platform according to any one of claims 1 to 9, further comprising at least one display unit connected to the platform server (20) via the communication network for receiving and displaying the information from the platform server (20).

11. An electronic platform according to any one of claims 1 to 10, wherein the third party entity server (30) comprises a third party database for storing third party information and/or information provided by the platform server (20).

12. An electronic platform according to any one of claims 1 to 11, wherein the third party entity server (30) comprises a third party server module to process received data, to convert the third party information into a format suitable for the platform server (20) to process, and to manage the flows of data.

13. An electronic platform according to any one of claims 1 to 12, wherein the third party entity is a fitness institution, a medical centre, a pharmacy, a health care institution, a research institution, a medical specialist institution, an event provider, a nutrition institution, an advertisement provider, or in any combination thereof.

14. An electronic platform according to any one of claims 1 to 13, wherein the user terminal (10), the platform server (20), and the third party entity server (30) are connected to each other through a wired or wireless connection.

15. An electronic platform according to any one of claims 1 to 14, wherein the platform server (20) comprises a platform server database for storing received information and/or generated information.

16. An electronic platform according to any one of claims 1 to 15, wherein the platform server (20) comprises a data conversion module for converting the received information into executable format.

17. An electronic platform according to claim 16, wherein the data conversion module converts the outflow data into a suitable format for the user terminal (10) and/or the third party entity server (30) to process and display.

18. An electronic platform according to any one of claims 1 to 17, wherein the platform server (20) includes a web server for providing a web-based user interface.

19. An electronic platform according to any one of claims 1 to 18, wherein the platform server (20) includes a calorie calculator engine for calculating daily caloric requirements of the user.

20. An electronic platform according to claim 19, wherein the calorie calculator engine comprises:

a computer-executable instruction for acquiring information relating to the gender of the user from the user profile,

a computer-executable instruction for computing the activity level based on the user gender,

a computer-executable instruction for performing a resting metabolic rate prediction, and

a computer-executable instruction for updating the result to the user profile.

21. An electronic platform according to any one of claims 1 to 20, wherein the platform server (20) includes a body mass index calculator engine for measuring the user body fat based on weight and height of the user.

22. An electronic platform according to claim 21, wherein the body mass index calculator engine comprises:

a computer-executable instruction for acquiring information relating to the height and weight of the user from the user profile,

a computer-executable instruction for computing the body mass index based on the user height and weight, and

a computer-executable instruction for updating the result to the user profile.

23. An electronic platform according to any one of claims 1 to 22, wherein the platform server (20) includes a skinfold calculator engine for determining the user body fat percentage.

24. An electronic platform according to claim 23, wherein the skinfold calculator engine comprises:

a computer-executable instruction for acquiring information relating to the skinfold data and gender of the user from the user profile,

a computer-executable instruction for performing the skinfold measurement based on the acquired information, and

a computer-executable instruction for updating the result to the user profile.

25. An electronic platform according to any one of claims 1 to 24, wherein the platform server (20) includes a rating engine (22) for generating the user health and lifestyle rating profile based on the user profile.

26. An electronic platform according to claim 25, wherein the rating engine (22) includes a profile screening module for assigning a normative value to each element of the user profile.

27. An electronic platform according to claim 25 or 26, wherein the rating engine (22) includes normative values for rockport walking test based on the gender of the user.

28. An electronic platform according to any one of claims 25 to 27, wherein the rating engine (22) includes normative values for endurance running based on the gender of the user.

29. An electronic platform according to any one of claims 25 to claim 28, wherein the rating engine (22) includes normative values for step test based on the gender of the user.

30. An electronic platform according to any one of claims 25 to 29, wherein the rating engine (22) includes normative value for curl up test based on the gender of the user.

31. An electronic platform according to any one of claims 25 to 30, wherein the rating engine (22) includes normative value for bodyweight squats based on the gender of the user.

32. An electronic platform according to any one of claims 25 to 31, wherein the rating engine (22) includes normative value for lower body exercise.

33. An electronic platform according to any one of claims 25 to 32, wherein the rating engine (22) includes normative value for upper body exercise.

34. An electronic platform according to any one of claims 25 to 33, wherein the rating engine (22) includes normative values for jump test.

35. An electronic platform according to any one of claims 25 to 34, wherein the rating engine (22) includes normative values for resting heart rate based on the gender of the user.

36. An electronic platform according to any one of claims 25 to 34, wherein the rating engine (22) includes normative values for each nutritional activity based on the gender of the user.

37. An electronic platform according to any one of claims 25 to 36, wherein the rating engine (22) comprises: a computer-executable instruction for comparing computed information with those normative values of the rating engine (22),

a computer-executable instruction for determine the scores based on the comparison, and

a computer-executable instruction for updating the result to the user health and lifestyle rating profile.

38. An electronic platform according to any one of claims 1 to 37, wherein the platform server (20) includes a survival probability prediction engine for providing survival probability prediction equations and models.

39. An electronic platform according to any one of claims 1 to 38, wherein the platform server (20) includes a supportive accountability healthcare management system (23) for managing and monitoring user behaviour and providing interventions electronically to the user.

40. An electronic platform according to claim 39, wherein the supportive accountability healthcare management system (23) comprises:

a computer-executable instruction for extracting information from the user profile, a computer-executable instruction for performing the analysis based on the acquired information,

a computer-executable instruction for determining a suitable third party entity server (30) for the interventions, and

a computer-executable instruction for transmitting a request message to the user device for the user to initiate a communication channel between the third party entity server (30) and the user device.

41. An electronic platform according to claim 39 or claim 40, wherein the supportive accountability healthcare management system (23) includes a bayesian adaptive case- based reasoning system for assisting in problem resolution.

42. An electronic platform according to claim 41, wherein the Bayesian adaptive case- based reasoning system comprises:

a computer-executable instruction for extracting features of a problem,

a computer-executable instruction for finding the solution by comparing the extracted features with data of a solution database,

a computer-executable instruction for requesting an operator of the system to provide suitable solution to the problem in the event of no solution is found, and

a computer-executable instruction for updating the solution database with the provided solution by the operator.

43. An electronic platform according to any one of claims 1 to 42, wherein the platform server includes a prediction module (21) configured to generate a graphical trend displaying at least one outcome of the user's physical and health conditions.

44. An electronic platform according to claim 43, wherein the prediction module (21) comprises:

a computer-executable instruction for checking the user compliance information, a computer-executable instruction for performing a prediction algorithm based on the user compliance information, and

a computer-executable instruction for generating the graphical trend to display the at least one outcome of the user's physical and health conditions.