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Build fair machine learning models to predict adverse outcomes for Heart failure patients with preserved ejection fraction (HFpEF) and with reduced ejection fraction (HFrEF)

2025-12-19 health informatics Title + abstract only
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BackgroundHeart failure (HF), including heart failure with preserved ejection fraction (HFpEF) and heart failure with reduced ejection fraction (HFrEF), remains a major global health challenge, particularly among aging populations. Timely and accurate prediction of severe adverse outcomes associated with HF is critical for optimizing care, reducing disease burden, and improving outcomes. Although social determinants of health (SDoH) have been recognized as key drivers of HF disparities and assoc...

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