July 1, 2024Open Access

Explainable coronary artery disease prediction model based on AutoGluon from AutoML framework

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Abstract

This study focuses on the innovative application of Automated Machine Learning (AutoML) technology in cardiovascular medicine to construct an explainable Coronary Artery Disease (CAD) prediction model to support the clinical diagnosis of CAD.

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Authors

Jianghong Wang

Qiang Xue

Wenjun Zhang

Journals

Frontiers in Cardiovascular Medicine

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Institutions

Harvard University

Dana-Farber Cancer Institute

University of Saskatchewan

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Cite this study

Wang et al. (Mon,) studied this question.

www.synapsesocial.com/papers/68e61df7b6db6435875affde — DOI: https://doi.org/10.3389/fcvm.2024.1360548

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Explainable coronary artery disease prediction model based on AutoGluon from AutoML framework

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Abstract

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Authors

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References and Citations

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Cite this study

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