Drug Recommendation Based On User Disease

Author(s)	Yokeshwaran K, Mrs M Josephine Amala
Country	India
Abstract	This research focuses on developing an intelligent drug recommendation system based on user-input diseases. The system utilizes machine learning techniques and medical datasets to analyze symptoms and predict suitable medications. By processing user data such as disease type and symptoms, the model provides accurate and personalized drug suggestions. The aim is to assist patients and healthcare providers in making informed decisions, reducing manual effort, and improving healthcare accessibility. The proposed system enhances efficiency, reliability, and supports early treatment through automated recommendations.
Keywords	Drug Recommendation, Machine Learning, Healthcare System, Disease Prediction, Data Mining.
Field	Computer > Data / Information
Published In	Volume 17, Issue 1, January-June 2026
Published On	2026-05-10
Cite This	Drug Recommendation Based On User Disease - Yokeshwaran K, Mrs M Josephine Amala - IJAIDR Volume 17, Issue 1, January-June 2026.

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Journal of Advances in Developmental Research