Development and comparison of machine learning-based models for predicting heart failure after acute myocardial infarction

AIMS: Heart failure (HF) is one of the common adverse cardiovascular events after acute myocardial infarction (AMI), but the predictive efficacy of numerous machine learning (ML) built models is unclear. This study aimed to build an optimal model to predict the occurrence of HF in AMI patients by co...

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Detalles Bibliográficos
Autores principales: Li, Xuewen, Shang, Chengming, Xu, Changyan, Wang, Yiting, Xu, Jiancheng, Zhou, Qi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463624/
https://www.ncbi.nlm.nih.gov/pubmed/37620904
http://dx.doi.org/10.1186/s12911-023-02240-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10463624/
https://www.ncbi.nlm.nih.gov/pubmed/37620904
http://dx.doi.org/10.1186/s12911-023-02240-1

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