Predicting Prolonged Length of ICU Stay through Machine Learning

Predicting Prolonged Length of ICU Stay through Machine Learning

This study aimed to construct machine learning (ML) models for predicting prolonged length of stay (pLOS) in intensive care units (ICU) among general ICU patients. A multicenter database called eICU (Collaborative Research Database) was used for model derivation and internal validation, and the Medi...

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Bibliographic Details
Main Authors: Jingyi Wu, Yu Lin, Pengfei Li, Yonghua Hu, Luxia Zhang, Guilan Kong
Format: Article
Language:English
Published: MDPI AG 2021-11-01
Series:Diagnostics
Subjects:
prolonged length of ICU stay
machine learning
clinical decision rules
medical informatics
Online Access:https://www.mdpi.com/2075-4418/11/12/2242

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https://www.mdpi.com/2075-4418/11/12/2242

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