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Machine learning to identify risk factors associated with t..:
Anthony Sophonsri
;
Mimi Lou
;
Pamela Ny
...
https://www.frontiersin.org/articles/10.3389/fmed.2023.1268488/full. , 2023
Link:
https://doi.org/10.3389/fmed.2023.1268488
RT Journal T1 <Title>Machine learning to identify risk factors associated with the development of ventilated hospital-acquired pneumonia and mortality: implications for antibiotic therapy selection</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:6ab69835da5d4aa8ac8b469b8c4bdeb0&Exemplar=1&LAN=DE A1 Anthony Sophonsri A1 Mimi Lou A1 Pamela Ny A1 Emi Minejima A1 Paul Nieberg A1 Annie Wong-Beringer PB Frontiers Media S.A. YR 2023 K1 pneumonia K1 critical care K1 mechanical ventilation K1 multidrug resistance K1 machine learning K1 Medicine (General) K1 R5-920 JF https://www.frontiersin.org/articles/10.3389/fmed.2023.1268488/full LK http://dx.doi.org/https://doi.org/10.3389/fmed.2023.1268488 DO https://doi.org/10.3389/fmed.2023.1268488 SF ELIB - SuUB Bremen
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