Individual outcome prediction models for patients with COVID-19 based on their first day of admission to the intensive care unit
Abstract
Currently, good prognosis and management of critically ill patients with COVID-19 are crucial for developing disease management guidelines and providing a viable healthcare system. We aimed to propose individual outcome prediction models based on binary logistic regression (BLR) and artificial neural network (ANN) analyses of data collected in the first 24 h of intensive care unit (ICU) admission for patients with COVID-19 infection. We also...
Paper Details
Title
Individual outcome prediction models for patients with COVID-19 based on their first day of admission to the intensive care unit
Published Date
Nov 1, 2021
Journal
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