Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion

A Al-Dailami, H Kuang, J Wang - Computers in Biology and Medicine, 2022 - Elsevier
Abstract In healthcare, Intensive Care Unit (ICU) bed management is a necessary task
because of the limited budget and resources. Predicting the remaining Length of Stay (LoS) …
被引用次数：7 相关文章

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion.

A Al-Dailami, H Kuang, J Wang - Computers in Biology and …, 2022 - europepmc.org
In healthcare, Intensive Care Unit (ICU) bed management is a necessary task because of
the limited budget and resources. Predicting the remaining Length of Stay (LoS) in ICU and …

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion

A Al-Dailami, H Kuang, J Wang - Computers in biology …, 2022 - pubmed.ncbi.nlm.nih.gov
In healthcare, Intensive Care Unit (ICU) bed management is a necessary task because of
the limited budget and resources. Predicting the remaining Length of Stay (LoS) in ICU and …

Predicting length of stay in ICU and mortality with temporal dilated separable convolution and context-aware feature fusion

A Al-Dailami, H Kuang, J Wang - 2022 - dl.acm.org
Abstract In healthcare, Intensive Care Unit (ICU) bed management is a necessary task
because of the limited budget and resources. Predicting the remaining Length of Stay (LoS) …