Machine Learning Identifies Complicated Sepsis Trajectory and Subsequent Mortality Based on 20 Genes in Peripheral Blood Immune Cells at 24 Hours post ICU admission
S. Banerjee, A. Mohammed, H. R. Wong, N. Palaniyar, R. Kamaleswaran
This paper identifies 20 genes predictive of sepsis complications and mortality using machine learning on gene expression data from ICU patients.
bioRxiv · Jun 14, 2020Immunology