International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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

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Volume 8 Issue 3
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Heart Attack Prediction Using Data Science Tools

Author(s) Mr. Tanishq Chavan, Mr. Shlok Raskar, Vedant Suryawanshi
Country India
Abstract Heart disease is a major cause of death worldwide, making early prediction vital. This project uses machine learning to identify individuals at risk of heart attacks. A Kaggle dataset with medical details was cleaned, encoded, and balanced using SMOTE. Key features were selected after data analysis. Models like Logistic Regression and K-Nearest Neighbors were trained and tested. Their performance was compared using accuracy, precision, F1-score, and confusion matrix. The best-performing model offers early risk detection to help doctors take timely action and improve patient care.
Field Medical / Pharmacy
Published In Volume 7, Issue 3, May-June 2025
Published On 2025-05-11
DOI https://doi.org/10.36948/ijfmr.2025.v07i03.44183
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E-ISSN 2582-2160
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