Drug Recommendation System in Medical Emergencies using Machine Learning

Project Algorithm :

DECISION TREE,RANDOM FOREST

Project Overview :

In medical emergencies, rapid and accurate drug recommendation can be life-saving. The proposed system utilizes machine learning to suggest appropriate drugs based on patient symptoms, medical history, allergy profiles, and vital signs. By training models on a dataset of historical medical cases and drug efficacy records, the system predicts the most suitable medications for emergency conditions such as seizures, asthma attacks, heart failure, and allergic reactions. The system aims to assist paramedics, emergency room doctors, and caregivers by providing intelligent drug suggestions, reducing human error and saving crucial time.

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