Probabilistic Graphical Modeling for Estimating Risk of Coronary Artery Disease: Applications of a Flexible Machine-Learning Method

Alind Gupta
Alind Gupta
Justin J Slater
Justin J Slater
Devon Boyne
Devon Boyne
Audrey Béliveau
Audrey Béliveau
Darren R Brenner
Darren R Brenner
Selena Hussain
Selena Hussain

Medical decision making : an international journal of the Society for Medical Decision Making, 2019.

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Keywords:
Bayesian networksBayesian statisticsHEORartificial intelligencecardiologyMore(6+)

Abstract:

Coronary artery disease (CAD) is the leading cause of death and disease burden worldwide, causing 1 in 7 deaths in the United States alone. Risk prediction models that can learn the complex causal relationships that give rise to CAD from data, instead of merely predicting the risk of disease, have the potential to improve transparency an...More

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