Prediction Model of hospitalization time of COVID-19 patients based on Gradient Boosted Regression Trees

Prediction Model of hospitalization time of COVID-19 patients based on Gradient Boosted Regression Trees

When an outbreak of COVID-19 occurs, it will cause a shortage of medical resources and the surge of demand for hospital beds. Predicting the length of stay (LOS) of COVID-19 patients is helpful to the overall coordination of hospital management and improves the utilization rate of medical resources....

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Bibliographic Details
Main Authors: Zhihao Zhang, Ting Zeng, Yijia Wang, Yinxia Su, Xianghua Tian, Guoxiang Ma, Zemin Luan, Fengjun Li
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
machine learing
covid-19
length of stay
predictive analytics
gbrt
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023459?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023459?viewType=HTML

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