[HTML][HTML] Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CD Scales Jr, R Henao… - BMC Medical Informatics …, 2022 - Springer
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

[HTML][HTML] Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CD Scales Jr, R Henao… - … and Decision Making, 2022 - ncbi.nlm.nih.gov
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data.

Z Xu, C Zhao, CD Scales Jr, R Henao… - … & Decision Making, 2022 - search.ebscohost.com
Background: In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CD Scales Jr, R Henao… - … and Decision Making, 2022 - search.proquest.com
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data.

Z Xu, C Zhao, CD Scales Jr, R Henao… - … and Decision Making, 2022 - europepmc.org
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CD Scales Jr… - BMC medical …, 2022 - pubmed.ncbi.nlm.nih.gov
Background In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

[HTML][HTML] Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CD Scales… - BMC Medical …, 2022 - bmcmedinformdecismak …
In the early stages of the COVID-19 pandemic our institution was interested in forecasting
how long surgical patients receiving elective procedures would spend in the hospital. Initial …

[PDF][PDF] Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CDS Jr, R Henao… - … Medical Informatics and …, 2022 - scienceopen.com
Background: In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …

[PDF][PDF] Predicting in-hospital length of stay: a two-stage modeling approach to account for highly skewed data

Z Xu, C Zhao, CDS Jr, R Henao… - BMC Medical …, 2022 - bmcmedinformdecismak …
Background: In the early stages of the COVID-19 pandemic our institution was interested in
forecasting how long surgical patients receiving elective procedures would spend in the …