Adding Continuous Vital Sign Information to Static Clinical Data Improves the Prediction of Length of Stay After Intubation: A Data-Driven Machine Learning Approach

BACKGROUND: Bedside monitors in the ICU routinely measure and collect patients' physiologic data in real time to continuously assess the health status of patients who are critically ill. With the advent of increased computational power and the ability to store and rapidly process big data sets...

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Detalhes bibliográficos
Publicado no:Respir Care
Main Authors: Castiñeira, David, Schlosser, Katherine R, Geva, Alon, Rahmani, Amir R, Fiore, Gaston, Walsh, Brian K, Smallwood, Craig D, Arnold, John H, Santillana, Mauricio
Formato: Artigo
Idioma:Inglês
Publicado em: Daedalus Enterprises Inc. 2020
Assuntos:
Original Research
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7906608/
https://ncbi.nlm.nih.gov/pubmed/32879034
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.4187/respcare.07561
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