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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM34605

Classify hypochondriac Situations Using Medication Reviews

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM34605

Volume:

8 |

5 |

May 2024

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem34605

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

SNJ

Sharda Nand Jha

PKP

Pranav Kumar Parihar

A

Address

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Abstract

– Among the most crucial concerns facing society is healthcare for humans. It looks for the most accurate diagnostic and comprehensive illness in order to guarantee that patients get the care they need as soon as feasible. Because this recognition is often difficult, additional fields are needed for the health-related component of searching, such as computer science and statistics[3]. To adopt novel approaches, these disciplines need to go beyond the conventional ones. Since there are so many novel approaches, it is feasible to provide an overview without going into specifics. To this end, we suggest a comprehensive analysis of illnesses associated with machine learning in humans. This research focuses on current methods related to machine learning growth applied to the diagnosis of human illnesses in the medical business in order to identify intriguing trends, generate insignificant forecasts, and support decision-making[1]. This study explores unique machine learning techniques used in healthcare applications to generate appropriate decision support[4], [5]. This work aims to close the research gap by creating a workable decision support system for medical applications.

KEYWORDS

Human disease Machine learning Neural Networks

Cite This Article

Sharda Nand Jha, Pranav Kumar Parihar, Address, "Classify hypochondriac Situations Using Medication Reviews," International Journal of Scientific Research in Engineering and Management, vol. 8, no. 5, May 2024. https://doi.org/10.55041/ijsrem34605

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Publication Date

5/27/2024

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Review Rounds: 2

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