INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Asadi Muni Hemanth
, Dr. R. Swathi , Dr. K. Santhi
Unique Id:
IJSDR2308076
Published In:
Volume 8 Issue 8, August-2023
Abstract:
Since coronavirus has shown up, inaccessibility of legitimate clinical resources is at its peak, like the shortage of specialists and healthcare workers, lack of proper equipment and medicines etc. The entire medical fraternity is in distress, which results in numerous individual’s demise. Due to unavailability, individuals started taking medication independently without appropriate consultation, making the health condition worse than usual. As of late, machine learning has been valuable in numerous applications, and there is an increase in innovative work for automation. This project intends to present a drug recommendation system based on sentiment analysis that can drastically reduce specialist’s heap. In this project, we built a drug recommendation system that uses patient reviews to predict the sentiment which lets people know whether to take a particular drug or not.
"DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNING", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 8, page no.525 - 529, August-2023, Available :http://www.ijsdr.org/papers/IJSDR2308076.pdf
Downloads:
000338720
Publication Details:
Published Paper ID: IJSDR2308076
Registration ID:208198
Published In: Volume 8 Issue 8, August-2023
DOI (Digital Object Identifier):
Page No: 525 - 529
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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