Time-to-event modeling for hospital length of stay prediction for COVID-19 patients

Time-to-event modeling for hospital length of stay prediction for COVID-19 patients

Providing timely patient care while maintaining optimal resource utilization is one of the central operational challenges hospitals have been facing throughout the pandemic. Hospital length of stay (LOS) is an important indicator of hospital efficiency, quality of patient care, and operational resil...

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Bibliographic Details
Main Authors: Yuxin Wen, Md Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter McCaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang (Bill) Tseng
Format: Article
Language:English
Published: Elsevier 2022-09-01
Series:Machine Learning with Applications
Subjects:
Length of stay
Survival analysis
Time-to-event modeling
Deep learning
COVID-19
Online Access:http://www.sciencedirect.com/science/article/pii/S2666827022000603

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http://www.sciencedirect.com/science/article/pii/S2666827022000603

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