UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 10
October-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2110329


Registration ID:
316162

Page Number

d257-d263

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Title

Medicine Suggestion System from User Review Using NLP Techniques

Abstract

Ever since the worldwide spread of the corona virus there has been a lot of issues regarding the non-availability of clinical resources such as health care workers, equipment and medicines. The entire population of medical professionals are in a predicament as to identifying the solution for the ongoing raging crisis. Due to these unfortunate circumstances, individuals resolved to take their own medication without proper knowledge and consultation which has made health conditions even worse and inevitably lead to the death of many people. Presently and in the future most of the applications assess Machine Learning, and there is an increase in innovative work for automation. This paper mainly confers a Medicine Suggestion system that can drastically reduce specialists’ heap. In this paper a medicine recommendation system has been built, which takes the patient reviews for sentiment prediction using some vectorization process like Bow, TF-IDF, Word2Vec and Manual Feature Analysis which will help the patients to classify and suggest the top medicine by using different classification algorithm for a particular or a given disease. Precision, recall, flscore, accuracy and AVC Score are used to evaluate the predicted sentiments. The result analysis shows that Classifier Linear SVC using TF-IDF Vectorization is the best among all the other models with 93% accuracy

Key Words

Medicine, Suggestion System, Machine Learning, Bow, TF-IDF, Word2Vec, Sentiment analysis

Cite This Article

"Medicine Suggestion System from User Review Using NLP Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 10, page no.d257-d263, October-2021, Available :http://www.jetir.org/papers/JETIR2110329.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Medicine Suggestion System from User Review Using NLP Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 10, page no. ppd257-d263, October-2021, Available at : http://www.jetir.org/papers/JETIR2110329.pdf

Publication Details

Published Paper ID: JETIR2110329
Registration ID: 316162
Published In: Volume 8 | Issue 10 | Year October-2021
DOI (Digital Object Identifier):
Page No: d257-d263
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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