International journal of cardiologyHumansSleep ApneaObstructiveMaleHeart Failure
Leveraging explainable machine learning models to predict moderate to severe obstructive sleep apnea in heart failure with preserved ejection fraction patients: A comorbidity perspective.
Qiang Sun, Yanan Xu, Wuping Tan, Zhuoya Yao, Huaiyu Ruan, Yi Yang, Shoupeng Duan, Jun Wang
Published: 202610.1016/j.ijcard.2025.133993
Abstract
BACKGROUND: Obstructive sleep apnea (OSA) is commonly observed in patients with heart failure with preserved ejection fraction (HFpEF), exacerbating the severity of the disease. Identifying the composition of disease clusters and understanding the as…
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