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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
ISSN Online 2393-8021ISSN Print 2394-1588Since 2014
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← Back to VOLUME 9, ISSUE 6, JUNE 2022

Drug Recommendation System

Spurthi R Mukund, Suma N R

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Abstract: Since Covid created, the shortage of real clinical products, such as licenced doctors and nurses, qualified healthcare workers, genuine hardware and pharmaceuticals, etc., has reached an all-time high. The threat to the the whole brotherhood will result in innumerable deaths. Because of accessibility problems, people began utilising drugs with their own with little or no instruction, which caused more problems than good. Recently, the creative work for computers has increased, and AI has gained importance across many industries. This study aims to provide a framework for medication recommendations that can significantly reduce the workload of doctors. In this study, we create a framework for medical advice that utilises patient audits to anticipate future medicines.

How to Cite:

[1] Spurthi R Mukund, Suma N R, “Drug Recommendation System,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2022.96117

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