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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47617
Volume:
9 |
5 |
May 2025
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.
This article examines the use of basic machine learning methods to predict the likelihood of diabetes and heart disease. Using archived datasets and powerful algorithms, it aims to demonstrate the potential for early disease detection. The PIMA diabetes database and the ICU heart disease dataset are used to apply logistic regression and develop predictive models.
KEYWORDS
Publication Date
12/4/2025
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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