Current state of artificial intelligence-based algorithms for hospital admission prediction in patients with heart failure

Autor: P M Croon, J L Selder, C P Allaart, H Bleijendaal, S A J Chamuleau, L Hofstra, I Išgum, K A Ziesemer, M M Winter

Publikováno v: 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 2022, ' Current state of artificial intelligence-based algorithms for hospital admission prediction in patients with heart failure : A scoping review ', European Heart Journal-Digital Health, vol. 3, no. 3, pp. 415-425 . https://doi.org/10.1093/ehjdh/ztac035

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 interventi

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