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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Vydané v:	Information sciences Ročník 637; s. 118932
Hlavní autori:	Zhou, Chunjie, Hou, Aihua, Dai, Pengfei, Li, Ali, Zhang, Zhenxing, Mu, Yuejun, Liu, Li
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Inc 01.08.2023
Predmet:	Anomaly detection Deep learning Heart failure Prediction Risk factors Heart failure Deep learning Risk factors Anomaly detection Prediction
ISSN:	0020-0255, 1872-6291
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