Machine Learning for Mortality Prediction in Patients With Heart Failure With Mildly Reduced Ejection Fraction

BACKGROUND: Machine‐learning‐based prediction models (MLBPMs) have shown satisfactory performance in predicting clinical outcomes in patients with heart failure with reduced and preserved ejection fraction. However, their usefulness has yet to be fully elucidated in patients with heart failure with...

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Detalles Bibliográficos
Autores principales: Tian, Pengchao, Liang, Lin, Zhao, Xuemei, Huang, Boping, Feng, Jiayu, Huang, Liyan, Huang, Yan, Zhai, Mei, Zhou, Qiong, Zhang, Jian, Zhang, Yuhui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356044/
https://www.ncbi.nlm.nih.gov/pubmed/37301744
http://dx.doi.org/10.1161/JAHA.122.029124

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10356044/
https://www.ncbi.nlm.nih.gov/pubmed/37301744
http://dx.doi.org/10.1161/JAHA.122.029124

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