Year: 2025
Type: article
Abstract: - The Predictive Medicine Recommendation System Powered by Machine learning (ML), a system where intelligently suggests suitable medications based on user-provided inputs, using machine learning techniques to enhance accuracy and relevance symptoms or medical conditions. By integrating advanced classification algorithms such as Support Vector Machines (SVM), Random Forest, and Naive Bayes, the system aims to reduce prescription errors, enhance diagnostic efficiency, and support personalized healthcare delivery. The platform supports early disease prediction, medication advice, and risk mitigation by analysing input from electronic health records (EHRs) and user-reported symptoms. Results demonstrate high accuracy in disease classification and medicine recommendation. This system represents a step forward in personalized, technology-enabled healthcare. Key words - Machine Learning, Disease Prediction, Medicine Recommendation, Personalized Healthcare.
DOI: 10.55041/ijsrem50712
Author: Mr. Akshay Nayak B.S
Language: English
Subfield: Health Information Management
Field: Health Professions
Domain: Health Sciences
Open Access status: bronze
OpenAlex ID: W4411340512