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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM9234

Human Disease Detection using Machine and Deep Learning algorithms

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM9234

Volume:

5 |

6 |

Jun 2021

Pages:

Publication Frequency:

Monthly (12 issues per year)

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Not assigned

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

RD

Ritik Dixit1

RV

Rahul Verma2

PD

Pushkar Dhakad3

PSK

Prof. Sushma Khatri4

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Abstract

“Human Disease Detection Using Machine Learning” predicts a person’s disease based on the data or symptoms that person enters into the system and then delivers correct findings based on that data. if the user merely wants to know the type of ailment the patient has experienced and the patient is not too seriously ill. It is a system that gives users advice on how to keep their health systems in good shape and offers a technique to identify diseases using this prediction. Today, the health sector plays a significant role in treating patients’ diseases, so this system is also helpful for the sector to inform the user and is beneficial to the user if he or she chooses not to visit a hospital or other clinic. By entering symptoms and other pertinent information, the user can learn what disease they are experiencing, and the sector can benefit from this system by simply asking the user.

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Cite This Article

Ritik Dixit1, Rahul Verma2, Pushkar Dhakad3, Prof. Sushma Khatri4, "Human Disease Detection using Machine and Deep Learning algorithms," International Journal of Scientific Research in Engineering and Management, vol. 5, no. 6, Jun 2021.

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Publication Date

12/22/2022

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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