Artificial Intelligence and Electronic Health Records (HER) System

Abstract

A recommendation system that is assisted by type-2 fuzzy ontologies is shown in the article. By tracking the user's vitals and suggesting meals and medications, the system keeps tabs on the user's health. Data extraction for patient risk variables is the initial step of the system. After then, it uses the patient's wearable sensors to figure out their health status. And lastly, it provides diabetic-specific medications for an intelligent medical cabinet and food for an intelligent fridge. In this ontology, the goal is to provide decision-making knowledge based on patient information using Protégé Web Ontology Language (OWL)-2 tools. This recommendation system is based on fuzzy logic and the Semantic Web Rule Language (SWRL). In order to gauge the extent of progress, the proposed ontology's performance was assessed following each round of development. This technology can alleviate the strain on hospitals caused by chronic patients, aid doctors in retrieving physiological data for diagnosis, and provide long-term care for elderly people with chronic conditions without requiring them to see doctors every day.