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

Y Wen, MF Rahman, Y Zhuang, M Pokojovy… - Machine learning with …, 2022 - Elsevier
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …

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

Y Wen, MF Rahman, Y Zhuang, M Pokojovy… - Machine Learning …, 2022 - europepmc.org
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …

Time-to-Event Modeling for Hospital Length of Stay Prediction for COVID-19 Patients

Y Wen, MF Rahman, Y Zhuang, M Pokojovy, H Xu… - 2022 - digitalcommons.chapman.edu
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …

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

Y Wen, MF Rahman, Y Zhuang… - Machine learning …, 2022 - pubmed.ncbi.nlm.nih.gov
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …

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

Y Wen, MF Rahman, Y Zhuang… - Machine Learning …, 2022 - ncbi.nlm.nih.gov
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …

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

Y Wen, MF Rahman, Y Zhuang, M Pokojovy… - Machine Learning …, 2022 - europepmc.org
Providing timely patient care while maintaining optimal resource utilization is one of the
central operational challenges hospitals have been facing throughout the pandemic …