Open AccessAcute respiratory distress syndrome phenotyping and latent class analysis, first steps toward precision medicine in critical care illness?
Author(s) -
Christophe Guervilly,
Gabriel Parzy,
Laurent Papazian
Publication year - 2019
Publication title -
journal of thoracic disease
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.682
H-Index - 60
eISSN - 2077-6624
pISSN - 2072-1439
DOI - 10.21037/jtd.2019.01.13
Subject(s) - medicine , acute respiratory distress , latent class model , distress , intensive care medicine , critical illness , respiratory illness , class (philosophy) , respiratory distress , psychiatry , clinical psychology , respiratory system , critically ill , artificial intelligence , machine learning , lung , surgery , computer science
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