Risk factor refinement and ensemble deep learning methods on prediction of heart failure using real healthcare records

The prediction of heart failure (HF) is crucial in preventing disease progression by implementing lifestyle changes and pharmacological interventions before the onset of heart diseases. While there have been numerous attempts to predict HF, many have failed to consider the coexisting risk factors an...

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Veröffentlicht in:	Information sciences Jg. 637; S. 118932
Hauptverfasser:	Zhou, Chunjie, Hou, Aihua, Dai, Pengfei, Li, Ali, Zhang, Zhenxing, Mu, Yuejun, Liu, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Inc 01.08.2023
Schlagworte:	Anomaly detection Deep learning Heart failure Prediction Risk factors Heart failure Deep learning Risk factors Anomaly detection Prediction
ISSN:	0020-0255, 1872-6291
Online-Zugang:	Volltext
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