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Comparative Analysis of Regressor Models for Predicting Heart Attack Risk: A Comprehensive Evaluation Using Regression Metrics and Visualization

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Al-Azhar University – Gaza
Alkayyali Z.K.D.; Idris S.A.B.; Abu-Naser S.S.
Alkayyali, Zakaria K. D. (58187245700); Idris, Syahril Anuar Bin (56342664200); Abu-Naser, Samy S. (26533902900)
58187245700; 56342664200; 26533902900
2025
Lecture Notes in Networks and Systems
Comparative Analysis of Regressor Models for Predicting Heart Attack Risk: A Comprehensive Evaluation Using Regression Metrics and Visualization
1537 LNNS
119
132
Bhateja V.; Oroumchian F.; Tang J.; Omar Z.
Springer Science and Business Media Deutschland GmbH
University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
Alkayyali Z.K.D., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Idris S.A.B., University Malaysia of Computer Science & Engineering (UNIMY), Cyberjaya, Malaysia; Abu-Naser S.S., Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine
S.S. Abu-Naser; Department of Information Technology, Faculty of Engineering and Information Technology, Al-Azhar University, Gaza, Palestine; email: abunaser@alazhar.edu.ps
0
10.1007/978-981-96-9242-2_9
Heart attack risk; Machine learning; Regression models
Artificial intelligence; Biomedical engineering; Cardiology; Diseases; Errors; Forecasting; Health risks; Heart; Learning systems; Prediction models; Regression analysis; Risk analysis; Risk assessment; Comparative analyzes; Comprehensive evaluation; Global health; Heart attack; Heart attack risk; Heart disease; Machine-learning; Performance; Regression modelling; Risk predictions; Mean square error