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An Integrated Clinico-Metabolomic Model Improves Prediction of Death in Sepsis
Author(s) -
R. J. Langley,
E. L. Tsalik,
J. C. v. Velkinburgh,
S. W. Glickman,
B. J. Rice,
C. Wang,
B. Chen,
L. Carin,
A. Suarez,
R. P. Mohney,
D. H. Freeman,
M. Wang,
Jiaqi You,
J. Wulff,
J. W. Thompson,
M. A. Moseley,
S. Reisinger,
B. T. Edmonds,
B. Grinnell,
D. R. Nelson,
Darrell L. Dinwiddie,
N. A. Miller,
C. J. Saunders,
S. S. Soden,
A. J. Rogers,
L. Gazourian,
Laura E. Fredenburgh,
A. F. Massaro,
R. M. Baron,
A. M. K. Choi,
Georgia Corey,
G. S. Ginsburg
Publication year - 2013
Publication title -
carolina digital repository (university of north carolina at chapel hill)
Language(s) - English
DOI - 10.17615/q2sp-ge94
Subject(s) - metabolomics , sepsis , medicine , intensive care medicine , computer science , bioinformatics , biology

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