International Journal on Science and Technology

E-ISSN: 2229-7677     Impact Factor: 9.88

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 16 Issue 3 July-September 2025 Submit your research before last 3 days of September to publish your research paper in the issue of July-September.

Local Host Based Machine Learning Model for Heart Disease Prediction

Author(s) Shahin Deelawar Nadaf, Mr Atul V Shaha, Taher M. Ghazal
Country India
Abstract — Coronary heart disease, commonly known as heart disease, is a widespread issue causing death with common symptoms. A sophisticated system is required for accurate diagnosis. Researchers developed a system that utilizes patient history, including genetic data. Predicting cardiovascular disease is a growing need. This paper explores heart disease and proposes a machine learning model for prediction.
Keywords depleted, dysfunction, inflammation, demographics, oxygenation
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 16, Issue 3, July-September 2025
Published On 2025-07-25
DOI https://doi.org/10.71097/IJSAT.v16.i3.7095
Short DOI https://doi.org/g9vdc8

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