Intelligent Medication Recommendation Systems: Enhancing Healthcare Accessibility and Efficiency

Abstract

This study introduces a medication recommendation system that uses user-input symptoms to intelligently recommend suitable medications [1],[4]. The system uses machine learning algorithms or rule-based logic to leverage structured symptom-disease-medicine mapping. The method is intended to help people and medical professionals by reducing the need for manual diagnosis in minor-to-moderate situations. It is designed to be accurate and easily accessible. The accuracy, response time, and relevance of the recommendation model were assessed. In settings with limited resources, this strategy has the potential to enhance drug efficiency and public health access [3].