Open AccessPatient selection in sepsis: precision medicine using phenotypes and its implications for future clinical trial design
Author(s) -
Daisuke Hasegaw,
Osamu Nishida
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.2019.09.31
Subject(s) - medicine , sepsis , presentation (obstetrics) , phenotype , selection (genetic algorithm) , precision medicine , clinical trial , intensive care medicine , bioinformatics , surgery , machine learning , pathology , computer science , genetics , biology , gene
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