Top and Alternate Drug Recommendation System


Authors : Vadipina Amarnadh; G Shreya; K Nikhil Chary; N Naga Lakshmi

Volume/Issue : Volume 8 - 2023, Issue 3 - March

Google Scholar : https://bit.ly/3TmGbDi

Scribd : https://bit.ly/3KEwYlZ

DOI : https://doi.org/10.5281/zenodo.7827562

Abstract : When the coronavirus first appeared, it has been more and more challenging to obtain suitable therapeutic resources, such as the lack of specialists and other medical professionals, the right tools and medications, etc. The fact that the medical industry as a whole is in disarray is responsible for several deaths. Many started taking medication on their own without the required consultation due to a lack of availability, which worsened their health conditions. Nowadays, machine learning has shown to be effective in a number of situations, and automation-related creative work is growing. This essay aims to propose a system for prescribing medications that can significantly lessen the workload specialised group. In this research, we created a top and alternate drug recommendation system that uses patient feedback to forecast sentiment using a variety of vectorization techniques like Bow, which can aid in recommending the best medication for a particular ailment by using the LGBM Classifier algorithm.

When the coronavirus first appeared, it has been more and more challenging to obtain suitable therapeutic resources, such as the lack of specialists and other medical professionals, the right tools and medications, etc. The fact that the medical industry as a whole is in disarray is responsible for several deaths. Many started taking medication on their own without the required consultation due to a lack of availability, which worsened their health conditions. Nowadays, machine learning has shown to be effective in a number of situations, and automation-related creative work is growing. This essay aims to propose a system for prescribing medications that can significantly lessen the workload specialised group. In this research, we created a top and alternate drug recommendation system that uses patient feedback to forecast sentiment using a variety of vectorization techniques like Bow, which can aid in recommending the best medication for a particular ailment by using the LGBM Classifier algorithm.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe