DRUG RECOMMENDATION SYSTEM USING MACHINE LEARNING
Asadi Muni Hemanth
, Dr. R. Swathi , Dr. K. Santhi
corona virus, sentiment analysis , machine learning
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", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.8, Issue 8, page no.525 - 529, August-2023, Available :https://ijsdr.org/papers/IJSDR2308076.pdf
Volume 8
Issue 8,
August-2023
Pages : 525 - 529
Paper Reg. ID: IJSDR_208198
Published Paper Id: IJSDR2308076
Downloads: 000347193
Research Area: Computer Science & Technology
Country: Tirupati, Andhra Pradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
