Evaluating the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction

Evaluating the Performance of Automated Machine Learning (AutoML) Tools for Heart Disease Diagnosis and Prediction

Globally, over 17 million people annually die from cardiovascular diseases, with heart disease being the leading cause of mortality in the United States. The ever-increasing volume of data related to heart disease opens up possibilities for employing machine learning (ML) techniques in diagnosing an...

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Bibliographic Details
Main Authors:	Lauren M. Paladino, Alexander Hughes, Alexander Perera, Oguzhan Topsakal, Tahir Cetin Akinci
Format:	Article
Language:	English
Published:	MDPI AG 2023-12-01
Series:	AI
Subjects:	AutoML machine learning cardiovascular disease coronary artery disease diagnosis heart disease
Online Access:	https://www.mdpi.com/2673-2688/4/4/53

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