Year: 2025
Type: article
Abstract: : The Personalized Medical Recommendation System represents an innovative approach in the healthcare sector, aiming to provide individualized medical guidance by leveraging patient data, such as medical history, symptoms, lifestyle, and preferences. Traditional healthcare models often rely on standardized treatments, which may overlook the unique health needs of each patient. This system fills that gap by utilizing machine learning algorithms to analyze input data and generate accurate, tailored recommendations, such as disease diagnosis, medication suggestions, personalized workouts, and dietary plans. Designed to optimize patient outcomes and reduce dependency on healthcare providers for routine advice, this system also enhances accessibility, particularly for remote or underserved populations, promoting proactive and preventive healthcare. Through continuous adaptation and data-driven learning, the Personalized Medical Recommendation System aligns with the future of patient-centric care, improving healthcare delivery by making it more effective, accessible, and tailored to individual needs.
Author: Shreyas Rane
Institution: Ruby Hall Clinic
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: diamond
OpenAlex ID: W4410992233