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

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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Bibliographic Details
Main Authors: Emeka Abakasanga, Rania Kousovista, Georgina Cosma, Ashley Akbari, Francesco Zaccardi, Navjot Kaur, Danielle Fitt, Gyuchan Thomas Jun, Reza Kiani, Satheesh Gangadharan
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-02-01
Series:Frontiers in Digital Health
Subjects:
learning disabilities
length of stay
bias mitigation
threshold optimiser
exponentiated gradient
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2025.1538793/full
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