Abstract
In the current digital era, healthcare is one of the main focuses of the medical sector. A mistake with a patient's medication is one of the most dangerous medical errors that might risk the patient's life. It leads the healthcare sector to assist users in making more suitable and cost- effective health-related decisions. A machine learning-based drug recommendation system that takes into account the patient's reported symptoms or drugs is suggested by this study. The algorithm utilised is cosine similarity vector and data frames of medicine, and the system uses supervised learning techniques such as decision trees and K- nearest neighbours to propose the alternative drug and urges users to buy that specific drug.
Published Version
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