Medicinal drug recommendation system project report.

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Authors: Kamal Acharya
Cited by: 0

Abstract

With the increase in the amount of clinical data being generated and scattered around the internet, "Health Information" has become the most concerned and searched topic on the internet. Since there is an overload of information about medicinal practices, it has become difficult to make patient-oriented decisions for the medical professionals. Research shows that a lot of medicine specialists usually make errors when they prescribe medicines to patients. This happens because they are not very experienced and sometimes even perform guess work for the same which is very dangerous. These errors and mistakes made by inexperienced doctors while recommending medicinal drugs lead to multiple deaths. To avoid such mistakes, we provide a medicine recommendation system for doctors which can be used by them while prescribing medicines. We believe that a recommendation system, which can recommend medicines, can be really helpful to doctors and medical staff and pharmaceuticals to recommend the correct medication as per the condition of the patients. Hence, while improving the services, it will also take care about the patient’s health and being. This could help in a lesser number of deaths due to errors and happier patients.

Fields of Study & Subjects

Recommender Systems and Techniques Artificial Intelligence in Healthcare Innovation in Digital Healthcare Systems

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
12 February 2026
Language
EN