Diet recommendation system and method based on health status, lifestyle, and interests of the user using artificial intelligence

By assessing lifestyle exposures and using a chatbot to adapt to user feedback, the system addresses the complexity of lifestyle evaluation, providing personalized diet plans that enhance health outcomes and reduce NCD risks.

WO2025163345A1PCT designated stage Publication Date: 2025-08-07DAGHOOGHI ESFAHANI AMIR BEHROOZ
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Patent Information

Application Number
PCT/IB2024/050879
Authority / Receiving Office
WO · WO
Patent Type
Applications
Current Assignee / Owner
Filing Date
2024-01-31
Publication Date
2025-08-07

AI Technical Summary

Technical Problem

Evaluating and ranking individuals' lifestyles to provide personalized diet recommendations is complicated due to inconsistent human behavior and the complexity of lifestyle components, and existing systems lack the ability to analyze user information effectively.

Method used

A method to assess lifestyle exposures from population-based research, associate them with health outcomes, and provide personalized diet recommendations using a chatbot that adapts to user feedback, offering tailored diet plans based on health status, lifestyle, and interests.

Benefits of technology

The system effectively ranks lifestyles and provides personalized diet plans that enhance health outcomes, adapt to user behavior, and improve adherence to healthy habits, thereby reducing the risk of non-communicable diseases.

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Abstract

This invention relates to a diet recommendation system, a lifestyle recommendation and management system, and a medical history management system using artificial intelligence. A method to assess individuals' lifestyles is to derive the health influence of lifestyle exposure from population-based research and to associate various combinations of lifestyle exposures with a health outcome including mortality rates, incidence of NCDs, or with relevant health-related biomarkers.
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Description

DescriptionTitle of Invention : Diet recommendation system and method based on health status, lifestyle, and interests of the user using artificial intelligenceTechnical Field

[0001] This invention relates to a diet recommendation system, a lifestyle recommendation and management system, and a medical history management system.Background Art

[0002] DIET PLAN MANAGEMENT DEVICE, DIET PLAN MANAGEMENT SYSTEM, DIET PLAN MANAGEMENT METHOD, AND PROGRAM is filed in USPTO with 17031427 application number.

[0003] The aforementioned invention included a diet plan management system, a diet plan management system, a diet plan management method, and a program for managing a diet plan in which blood inspection is incorporated. A physical information collection unit that collects physical information of a target person, a blood inspection item value collection unit that obtains a blood inspection item value of the target person, a diet plan-making unit that changes, in terms of the relationship between a first blood inspection value corresponding to first physical information which is the physical information before the target person implements a diet and a second blood inspection item value corresponding to second physical information as a target, the physical information to the second physical information from the first physical information and makes a diet plan for performing one or more blood inspections, and a diet plan monitoring system for monitoring the diet plan given the third blood inspection item value obtained from the blood inspection are provided.

[0004] In the above invention, a chatbot has not been considered to analyze information and provide recommendations. At the same time, the methodology of this invention differs from the claimed invention.Technical Problem

[0005] To have a long lifespan and live under optimal health circumstances, people must adopt and maintain healthier habits. Healthier habits such as not smoking, maintaining a healthy weight, being physically active, and adhering to a healthy diet improve life expectancy substantially, and can enhance the quality of one's increased life expectancy.

[0006] A healthy lifestyle is defined as a lifestyle that enhances social, mental, and physical well-being, mitigates the risk of developing non-communicable diseases (NCDs), results in healthy aging, and finally helps one to enjoy more aspects of life. Hence, people require the right information, sufficient resources, as well as the opportunity to obtain a healthy lifestyle.

[0007] Lifestyles of people are complicated and involve enormous factors or lifestyle components that affect the healthiness of an individual's lifestyle. For example, lifestyle components may include physical activity, diet, smoking, anthropometric measurements, alcohol consumption, sedentary behavior, sleep duration, social support and network, sleep quality, cardiorespiratory fitness, mental health coping strategies, breastfeeding, social status, sleep regularity, and food insecurity, among others. Different healthy and unhealthy habits regarding the number of lifestyle components may have different influences on an individual's health and whether that individual's lifestyle can be regarded as healthy or not.

[0008] It is a complicated task to evaluate and rank individuals' lifestyles. The complicated nature of evaluating and ranking the healthiness of lifestyles is due to the inconsistent behavior of human beings. Some individuals adopt a mixed combination of both healthy and unhealthy habits and this combination may change during individuals' lives. Self-reporting approaches always do not cover behavioral lifestyle changes, because self-reporting is often performed occasionally.Solution to Problem

[0009] A method to assess individuals' lifestyles is to derive the health influence of lifestyle exposure from population-based research and to associate various combinations of lifestyle exposures with a health outcome including mortality rates, incidence of NCDs, or with relevant health-related biomarkers. In addition,lifestyle exposures that are well-known and established health-influencing factors may be ranked so that an ultimate lifestyle score would be associated with a health outcome in a dose-responsive manner.

[0010] To offer the best recommendations to the user, it is essential to receive the user's personal information first. Such information includes gender, age, medical history, height, weight, and physical activity level. Subsequently, the user is subjected to a psychological flexibility test, which is interpreted to be used in the next steps.

[0011] According to the acquired information, a lifestyle roadmap is prepared, which has two sections: diet & workout and lifestyle. A recommended lifestyle is prepared based on the user's responses and the chatbot provides individual recommendations. Since the user may not be ready to start a diet, the system redirects the user to the lifestyle section and when the user is ready, offers other recommendations in the next section.

[0012] Different types of diets are predicted in the diet section. Weight-Gaining Diet, Weight-Preserving Diet, Weight-Losing Diet, Hypertension-Controlling Diet, Diabetic Diet.

[0013] The Weight-Gaining Diet section has three selectable sub-sections, the Personally-Adjusted Diet section, where the user can adjust part of his / her diet information Either user can choose a fixed diet in the Regular Diet section or choose the Mediterranean Diet.

[0014] The Weight-Preserving Diet and Weight-Losing Diet sections have six options, which include a Personally-Adjusted Diet, Regular Diet, Mediterranean Diet, Fasting Diet, Ketogenic Diet, and Low-Carb Diet. When the user selects any of the mentioned items or one of the Hypertension-Controlling Diet or Diabetic Diet options, he / she will be directed to the calorie calculation section. The calorie calculation section calculates the calories that the user should receive based on basic information, medical history, and diet type, and then Macronutrient composition is adjusted and viewed. Then the user is directed to the diet dashboard and then registers the diets. Then Progress Report is received basedon registered diets and Chat Bot provides individualized recommendations based on the user's daily intake and diet type.

[0015] Next, the system returns to a previous stage, i.e., the diet registration stage, which practically enters a cycle. The performance of this cycle is checked by Chat Bot and if this diet pattern does not match with the user's food intake, it asks the user to change his / her dietary pattern. In this case, the user will be returned to the diet type stage to choose another diet. These actions create a flexible system considering the traits and habits of each user so that it can adapt itself to the user in all cases and achieve the desired result.Advantageous Effects of Invention

[0016] 1- Identify personality disorders and characteristics by cognitive behavioral therapy method

[0017] 2- Provide diet plan based on the result of the CBT

[0018] 3- More effective than similar methodsBrief Description of Drawings

[0019] Figure 1 : System FlowchartDescription of Embodiments

[0020] First, user information including gender, age, medical history, height, weight, and physical activity level is acquired. Then the user is subjected to a psychological flexibility test which is interpreted in the next step. Based on the acquired information, a lifestyle roadmap is prepared, which has two sections: Diet & Workout and Lifestyle. A recommended lifestyle is prepared based on the user's responses and the chatbot provides individual recommendations. If the user is not ready to start a diet, the system redirects the user to the Lifestyle section.

[0021] Different types of diets are predicted in the diet section. Weight-Gaining Diet, Weight-Preserving Diet, Weight-Losing Diet, Hypertension-Controlling Diet, Diabetic Diet.

[0022] The Weight-Gaining Diet section involves three selectable sub-sections, the Personally-Adjusted Diet section, where the user can adjust part of his / her dietinformation or the user can choose a fixed diet in the Regular Diet or the Mediterranean Diet section.

[0023] The Weight-Preserving Diet and Weight-Losing Diet sections have six options, which include a Personally-Adjusted Diet, Regular Diet, Mediterranean Diet, Fasting Diet, Ketogenic Diet, and Low-Carb Diet. When the user selects any of the mentioned items or one of the Hypertension-Controlling Diet or Diabetic Diet options, he / she will be directed to the calorie calculation section. The calorie calculation section calculates the calories that the user should receive based on basic information, medical history, and diet type, and then Macronutrient composition is adjusted and viewed. Then the user is directed to the diet dashboard and then registers the diets. Then Progress Report is received based on registered diets and Chat Bot provides individualized recommendations based on the user's daily intake and diet type.

[0024] Subsequently, the system returns to a previous stage, i.e., the diet registration stage, which practically enters a cycle. The performance of this cycle is checked by Chat Bot and if this diet pattern does not match with the user's food intake, the user is returned to the diet type stage to choose another diet.Industrial Applicability

[0025] This invention is suitable for the individual who wants to receive a proper diet using software and monitor their progress.

Claims

Claims

1. A diet recommendation system and method based on health status, lifestyle, and interests of the user using artificial intelligence which comprising: a. Acquisition of individual information including gender, age, medical history, height, weight, and physical activity level b. Performing psychological flexibility test and its interpretation c. Preparation of a Lifestyle roadmap which includes Diet & Workout and Lifestyle sections d. Applying artificial intelligence to provide personalized suggestions and recommendations for diet e. Selection of types of diet such as Weight-Gaining Diet, Weight- Preserving Diet, Weight-Losing Diet, Hypertension-Controlling Diet, and Diabetic Diet. f. Caloric calculations based on basic information, medical history and diet type and adjustment and observation of Macronutrients compositionThen the user is directed to the diet dashboard and then registers the diets. Progress Report is received based on registered foods and Chat Bot provides individualized recommendations based on the user's daily intake and diet type subsequently, the system returns to a previous stage, that is, the diet registration stage, which enters into a cycle, and the performance of this cycle is checked by the Chat Bot, and if this dietary pattern does not match the user's food intake, asks the user to change his / her dietary pattern and the user is returned to the diet type stage to choose another diet.

2. The diet recommendation system and method according to claim 1 , wherein the Weight-Gaining Diet section has three selectable subsections, the Personally-Adjusted Diet section, where the user can adjustpart of his / her diet information, or choose a fixed diet in the Regular Diet or the Mediterranean Diet.

3. The diet recommendation system and method according to claim 1 , wherein the Weight-Preserving Diet and Weight-Losing Diet sections have six options, which include Personally-Adjusted Diet, Regular Diet, Mediterranean Diet, Fasting Diet, Ketogenic Diet, and Low- They are Carb Diet.

Citation Information

Patent Citations

  • Personalized diet recommendation system using ai

    IN202341067747A