Sepsis results in various patient complications and is due to a heightened inflammatory response against infection. This condition requires further exploration of biomarkers. We employed an "in silico" method comprised of text-mining and additionally clinical validation through the Medical Information Mart for Intensive Care. We highlight that Factor VIII shows potential as a pertinent septic shock biomarker.
Keywords: Bioinformatics; Biomarkers; Natural language processing; Sepsis.