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Equitable hospital length of stay prediction for patients with learning disabilities and multiple long-term conditions using machine learning

PurposeIndividuals with learning disabilities (LD) often face higher rates of premature mortality and prolonged hospital stays compared to the general population. Predicting the length of stay (LOS) for patients with LD and multiple long-term conditions (MLTCs) is critical for improving patient care...

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Principais autores: Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
Formato: Artigo
Idioma:Inglês
Publicado em: Frontiers Media S.A. 2025-02-01
coleção:Frontiers in Digital Health
Assuntos:
learning disabilities
length of stay
bias mitigation
threshold optimiser
exponentiated gradient
Acesso em linha:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1538793/full
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