Data Science for Extubation Prediction and Value of Information in Surgical Intensive Care Unit

Volume: 8, Issue: 10, Pages: 1709 - 1709
Published: Oct 17, 2019
Abstract
Besides the traditional indices such as biochemistry, arterial blood gas, rapid shallow breathing index (RSBI), acute physiology and chronic health evaluation (APACHE) II score, this study suggests a data science framework for extubation prediction in the surgical intensive care unit (SICU) and investigates the value of the information our prediction model provides. A data science framework including variable selection (e.g., multivariate...
Paper Details
Title
Data Science for Extubation Prediction and Value of Information in Surgical Intensive Care Unit
Published Date
Oct 17, 2019
Volume
8
Issue
10
Pages
1709 - 1709
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