Using interpretable survival analysis to assess hospital length of stay

Using interpretable survival analysis to assess hospital length of stay

Abstract Accurate in-hospital length of stay prediction is a vital quality metric for hospital leaders and health policy decision-makers. It assists with decision-making and informs hospital operations involving factors such as patient flow, elective cases, and human resources allocation, while also...

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Bibliographic Details
Main Authors: Yan Li, Trevor Hall, Fahad Razak, Amol Verma, Mark Chignell, Lu Wang
Format: Article
Language:English
Published: BMC 2025-05-01
Series:BMC Health Services Research
Subjects:
Interpretable machine learning
Survival analysis
Hospital length of stay
Online Access:https://doi.org/10.1186/s12913-025-12852-0
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