ISSN2456-3315
Impact Factor10.57
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ESTD2016
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Paper Title
Alternative Medicine Recommendation System using Machine Learning
Authors
Dr M Trupthi , M. Akhil , G. N. Manoj , P. Akshita
Keywords
Alternative Medicine, Cosine Similarity, Medicine Recommendation System, Patient Symptoms, Drug Effects.
Abstract
The goal of the medication recommendation system is to prescribe different medications based on the cosine similarity between a patient's symptoms and the effects of different drugs. The system uses a list of potential patient symptoms as well as a database of drugs and their indications. It applies filters, vectorizes the data, and generates recommendations. Patients are advised to take medications that have a higher cosine similarity because they are deemed more pertinent. This recommender is a useful tool in the event of a medical emergency when doctors or prescribed drugs are not available. The suggested drug recommendation system may be able to assist patients and medical professionals in selecting complementary medicines with knowledge. The method can lessen the possibility of negative medication reactions and enhance.
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IJRTI — journal style
"Alternative Medicine Recommendation System using Machine Learning", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.9, Issue 2, page no.241 - 246, February-2024, Available :https://ijrti.org/papers/IJRTI2402037.pdf
APA — 7th edition
Trupthi, M., Akhil, M., Manoj, G. N., & Akshita, P. (2024). Alternative Medicine Recommendation System using Machine Learning. International Journal for Research Trends and Innovation, 9(2), 241 - 246. https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037
MLA — 9th edition
Trupthi, M, et al. "Alternative Medicine Recommendation System using Machine Learning." International Journal for Research Trends and Innovation, vol. 9, no. 2, 2024, pp. 241 - 246, https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037.
Chicago — 17th, bibliography
Trupthi, M, et al. "Alternative Medicine Recommendation System using Machine Learning." International Journal for Research Trends and Innovation 9, no. 2 (2024): 241 - 246. https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037.
Harvard — author–date
Trupthi, M. et al. (2024) 'Alternative Medicine Recommendation System using Machine Learning', International Journal for Research Trends and Innovation, 9(2), pp. 241 - 246. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037
IEEE — numbered reference
M. Trupthi, M. Akhil, G. N. Manoj and P. Akshita, "Alternative Medicine Recommendation System using Machine Learning," IJRTI, vol. 9, no. 2, pp. 241 - 246, Feb. 2024.
Vancouver — biomedical
Trupthi M, Akhil M, Manoj GN, Akshita P. Alternative Medicine Recommendation System using Machine Learning. IJRTI. 2024 Feb;9(2):241 - 246.
AMA — 11th edition
Trupthi M, Akhil M, Manoj GN, Akshita P. Alternative Medicine Recommendation System using Machine Learning. IJRTI. 2024;9(2):241 - 246. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2402037,
author = {M Trupthi and M. Akhil and G. N. Manoj and P. Akshita},
title = {Alternative Medicine Recommendation System using Machine Learning},
journal = {International Journal for Research Trends and Innovation},
volume = {9},
number = {2},
pages = {241 - 246},
year = {2024},
month = {February},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Trupthi, M
AU - Akhil, M.
AU - Manoj, G. N.
AU - Akshita, P.
TI - Alternative Medicine Recommendation System using Machine Learning
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 9
IS - 2
PY - 2024
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037
SP - 241
EP - 246
ER -
Issue
Volume 9 Issue 2,
February-2024
Pages : 241 - 246
Other Publication Details
Paper Reg. ID
IJRTI_189184
Published Paper ID
IJRTI2402037
Downloads
205,662
Research Area
Computer Science & TechnologyÂ
Country
Ranga Reddy, Telangana, India
Published
February 2024
Published Paper PDF
https://ijrti.org/papers/IJRTI2402037.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2402037
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
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Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
