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Article

Improving Hospital Length of Stay Prediction through Heterogeneous Data Integration from MIMIC-III Records

2025-08-26

Abstract excerpt

<title>Abstract</title> <p>Accurate prediction of hospital length of stay (LoS) is a vital component in optimizing clinical workflows, resource allocation, and patient care. This study presents a comprehensive evaluation of machine learning models for both binary and multi-class LoS classification tasks using structured clinical variables, physiological measurements, and unstructured clinical notes. Seven data co...

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Literature Corpus work
467d019f-4b08-5b6e-b1e4-8d7ca81ac01b
DOI
10.21203/rs.3.rs-6753896/v1
Open publication

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Improving Hospital Length of Stay Prediction through Heterogeneous Data Integration from MIMIC-III RecordsDOI 10.21203/rs.3.rs-6753896/v1
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