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

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

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 inve...

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Bibliographic Details
Main Authors: Tsung-Lun Tsai, Min-Hsin Huang, Chia-Yen Lee, Wu-Wei Lai
Format: Article
Language:English
Published: MDPI AG 2019-10-01
Series:Journal of Clinical Medicine
Subjects:
extubation
surgical intensive care unit
data mining
machine learning
precision medicine
Online Access:https://www.mdpi.com/2077-0383/8/10/1709

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