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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM27450
Volume:
7 |
12 |
Dec 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
Thanks to the rapid development of machine learning and data analysis techniques, new applications are now possible in the healthcare sector. The program provides disease prediction that uses patient data and the power of machine learning algorithms to predict the occurrence of specific diseases. The system is designed to help healthcare providers make decisions, provide timely treatment and improve patient outcomes. The system incorporates many types of machine learning, including classification techniques such as random forests, support vector machines, and neural networks. These models are trained on data to understand relationships between ideas and organisms.
KEYWORDS
Publication Date
11/11/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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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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