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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM32658

MediBot For Symptoms-Driven Disease Prediction and Treatment Suggestions

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM32658

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM32658

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

AI

Adil Irfan

KP

Kiran Paka

AK

Arun Kumar

N

Nandakumar.M

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Abstract

To promote awareness regarding healthcare for underprivileged and inactive individuals globally, post-pandemic scenarios such as COVID-19 have led to hesitancy in seeking medical attention for minor ailments like fever and cold. This study presents a groundbreaking solution: the Medibot, which offers disease prediction based on symptoms and provides treatment recommendations through text and audio input and output. The Medibot assists users anytime, anywhere with its 24/7 services, saving time. Utilizing Deep Learning, it is capable of making decisions akin to humans and is also cost-effective for users.

KEYWORDS

“Health care” “MediBot” “Diseases prediction” “Treatment recommendations” “Deep learning” “Cost-efficient”

Cite This Article

Adil Irfan, Kiran Paka, Arun Kumar, Nandakumar.M, "MediBot For Symptoms-Driven Disease Prediction and Treatment Suggestions," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024. https://doi.org/10.55041/IJSREM32658

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Publication Date

12/31/45413

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Double-Blind Peer Review

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