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Machine learning-driven identification of the gene-expressi..:
Mihir R. Atreya
;
Shayantan Banerjee
;
Andrew J. Lautz
...
http://www.sciencedirect.com/science/article/pii/S2352396423005042. , 2024
Link:
https://doi.org/10.1016/j.ebiom.2023.104938
RT Journal T1
Machine learning-driven identification of the gene-expression signature associated with a persistent multiple organ dysfunction trajectory in critical illnessResearch in context
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:162e22e81e7c4a51b9298a80581e6c4c&Exemplar=1&LAN=DE A1 Mihir R. Atreya A1 Shayantan Banerjee A1 Andrew J. Lautz A1 Matthew N. Alder A1 Brian M. Varisco A1 Hector R. Wong A1 Jennifer A. Muszynski A1 Mark W. Hall A1 L. Nelson Sanchez-Pinto A1 Rishikesan Kamaleswaran A1 Natalie Z. Cvijanovich A1 Julie C. Fitzgerald A1 Scott L. Weiss A1 Michael T. Bigham A1 Parag N. Jain A1 Adam J. Schwarz A1 Riad Lutfi A1 Jeffrey Nowak A1 Geoffrey L. Allen A1 Neal J. Thomas A1 Jocelyn R. Grunwell A1 Torrey Baines A1 Michael Quasney A1 Bereketeab Haileselassie A1 Chris J. Lindsell PB Elsevier YR 2024 K1 Critical illness K1 Sepsis K1 Multiple organ dysfunction syndrome K1 Precision medicine K1 Supervised machine learning K1 Medicine K1 R K1 Medicine (General) K1 R5-920 JF http://www.sciencedirect.com/science/article/pii/S2352396423005042 LK http://dx.doi.org/https://doi.org/10.1016/j.ebiom.2023.104938 DO https://doi.org/10.1016/j.ebiom.2023.104938 SF ELIB - SuUB Bremen
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