Predicting Hospital Stay Length Using Explainable Machine Learning

Predicting Hospital Stay Length Using Explainable Machine Learning

Efficient bed management minimizes hospital costs and improves efficiency and patient outcomes. This study presents a predictive hospital-ICU length of stay (LOS) framework at admission, where it leverages hospital EHR. Our work utilizes supervised machine learning classification models to predict I...

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Bibliographic Details
Main Authors: Belal S. Alsinglawi, Fady Alnajjar, Mohammed S. Alorjani, Osama Mohammed Al-Shari, Mauricio Novoa Munoz, Omar Mubin
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Healthcare decision support systems
explainable artificial intelligence
machine learning
XGBOOST
Online Access:https://ieeexplore.ieee.org/document/10577969/

Internet

https://ieeexplore.ieee.org/document/10577969/

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