Current state of artificial intelligence-based algorithms for hospital admission prediction in patients with heart failure: a scoping review( )

AIMS: Patients with congestive heart failure (HF) are prone to clinical deterioration leading to hospital admissions, burdening both patients and the healthcare system. Predicting hospital admission in this patient group could enable timely intervention, with subsequent reduction of these admissions...

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Detalles Bibliográficos
Autores principales: Croon, P M, Selder, J L, Allaart, C P, Bleijendaal, H, Chamuleau, S A J, Hofstra, L, Išgum, I, Ziesemer, K A, Winter, M M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707890/
https://www.ncbi.nlm.nih.gov/pubmed/36712159
http://dx.doi.org/10.1093/ehjdh/ztac035

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707890/
https://www.ncbi.nlm.nih.gov/pubmed/36712159
http://dx.doi.org/10.1093/ehjdh/ztac035

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