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.
