Risk prediction of heart failure in patients with ischemic heart disease using network analytics and stacking ensemble learning

BACKGROUND: Heart failure (HF) is a major complication following ischemic heart disease (IHD) and it adversely affects the outcome. Early prediction of HF risk in patients with IHD is beneficial for timely intervention and for reducing disease burden. METHODS: Two cohorts, cases for patients first d...

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Detalles Bibliográficos
Autores principales: Zhou, Dejia, Qiu, Hang, Wang, Liya, Shen, Minghui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207812/
https://www.ncbi.nlm.nih.gov/pubmed/37221512
http://dx.doi.org/10.1186/s12911-023-02196-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10207812/
https://www.ncbi.nlm.nih.gov/pubmed/37221512
http://dx.doi.org/10.1186/s12911-023-02196-2

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