Personalized Treatment Recommendation System for Chronic Diseases: Integrating AI and Electronic Health Records
Abstract
This research paper introduces a personalized treatment recommendation system for managing chronic diseases, such as diabetes and hypertension, based on electronic health records (EHRs) and AI algorithms. By employing machine learning models trained on patient-specific clinical data, the system generates tailored treatment plans considering individual characteristics, comorbidities, and treatment response patterns. The study demonstrates the feasibility and effectiveness of utilizing AI-powered decision support systems to optimize therapeutic outcomes and enhance patient adherence in chronic disease management.
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