
International Journal on Science and Technology
E-ISSN: 2229-7677
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Impact Factor: 9.88
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 3
July-September 2025
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Local Host Based Machine Learning Model for Heart Disease Prediction
Author(s) | Shahin Deelawar Nadaf, Mr Atul V Shaha, Taher M. Ghazal |
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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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IJSAT DOI prefix is
10.71097/IJSAT
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