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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM29431

Doctor Recommendation System using Patient’s Review and Symptoms

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM29431

Volume:

8 |

4 |

Apr 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
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

PNG

Prof. Nikita Gosavi

PD

Prathamesh Deshpande

NC

Nayan Choudhary

PA

Prasad Avhad

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Abstract

The project aims to create a user-friendly interface that allows users to input their symptoms and locations. With the user input data, the system will generate the most suitable doctors in the user’s area. Machine-learning Algorithms for symptom Analysis. By integrating patient Review and symptom Analysis the system will provide personalized Recommendations that will meet the individual needs

KEYWORDS

Machine Learning Recommendation System Symptoms NLP

Cite This Article

Prof. Nikita Gosavi, Prathamesh Deshpande, Nayan Choudhary, Prasad Avhad, "Doctor Recommendation System using Patient’s Review and Symptoms," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 4, Apr 2024.

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Publication Date

12/31/45383

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Double-Blind Peer Review

Review Rounds: 2

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5

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Conflict of Interest

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

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No funding information available for this research.

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