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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Detalles Bibliográficos
Autores principales: Tsai, Tsung-Lun, Huang, Min-Hsin, Lee, Chia-Yen, Lai, Wu-Wei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833107/
https://www.ncbi.nlm.nih.gov/pubmed/31627316
http://dx.doi.org/10.3390/jcm8101709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6833107/
https://www.ncbi.nlm.nih.gov/pubmed/31627316
http://dx.doi.org/10.3390/jcm8101709

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