A Hybrid Intelligence System For Assisting Individuals With Gastrointestinal Tract Diseases

Abstract

Hybrid intelligent systems allow people to organize their time and simplify their day-to-day life processes related to forming a meal plan. This paper describes a method of presenting knowledge of the modern expert system, a description of the methods of the recommender system as a part of a hybrid intelligent system is given. Special attention is given to the legal regulation of intelligent systems in the area of telehealth. As a result of analyzing a number of properties of influencing people with inflammatory diseases of the digestive tract, a classified list of the main properties that affect patients with inflammatory diseases of the digestive system is highlighted. The paper presented the structure of the hybrid intelligent system for assisting people with gastrointestinal tract diseases. The paper also highlighted the main stages of designing such a system and presented the main algorithm of the system in general and of the process of forming a personalized nutrition plan. Besides, the process of making a diagnostics decision is described. A typical and alternative scenario of forming an individual nutrition plan was presented. The study considered an example of forming a nutrition plan based on the user's personal preferences. The study results are the recommendations for further development of the systems and a description of the ways of integrating the system in major telehealth services.

Keywords

• diagnostics
• digestive system
• proper nutrition
• diet
• medicine
• telemedicine
• classification
• gastrointestinal tract
• intestines
• liver
• stomach
• hybrid intelligent system
• recommender system
• expert system