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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM49216
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.
Flask, a Python web framework, to assess an individual’s risk of cardiovascular diseases. Employing machine learning algorithms, this project analyzes diverse health parameters to generate personalized risk assessments. The primary objective is to establish a user-friendly web interface where users can conveniently input their health data for receiving tailored cardiovascular risk evaluations. By offering early insights into potential health risks, this project strives to empower individuals with proactive measures for preventing and managing cardiovascular diseases. Through accessible and personalized risk assessments, “FlaskCardioRisk” aims to contribute to improved healthcare strategies for better cardiovascular health outcomes.
KEYWORDS
Publication Date
5/30/2025
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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