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Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome

Title:	Machine learning identifies clinical sepsis phenotypes that translate to the plasma proteome
Authors:	Bracht, Thilo^{Aff1, Aff2, IDs15010025026283_cor1}; Weber, Maike^{Aff2, Aff3, Aff4}; Kappler, Kerstin^{Aff1, Aff5}; Palmowski, Lars^Aff1; Bayer, Malte^{Aff1, Aff2}; Schork, Karin^{Aff2, Aff3, Aff4}; Rahmel, Tim^Aff1; Unterberg, Matthias^Aff1; Haberl, Helge^Aff1; Wolf, Alexander^Aff1; Koos, Björn^Aff1; Rump, Katharina^Aff1; Ziehe, Dominik^Aff1; Limper, Ulrich^Aff6; Henzler, Dietrich^Aff7; Ehrentraut, Stefan Felix^Aff8; von Groote, Thilo^Aff9; Zarbock, Alexander^Aff9; Marcus-Alic, Katrin^{Aff2, Aff3}; Eisenacher, Martin^{Aff2, Aff3, Aff4}; Adamzik, Michael^Aff1; Sitek, Barbara^{Aff1, Aff2}; Nowak, Hartmuth^{Aff1, Aff5, IDs15010025026283_cor2}
Source:	Infection: A Journal of Infectious Diseases. 53(6):2779-2793
Database:	Springer Nature Journals