Additional file 3 of Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
This dataset contains de-identified clinical data of 123 patients with sepsis admitted to the intensive care unit (ICU) between 2015 and 2018. Variables include demographic data (age, sex, BMI), disea
SepsisTensor is a harmonized cross-platform transcriptomic tensor resource constructed from publicly available Gene Expression Omnibus (GEO) cohorts for reproducible machine learning research in sepsi
Objective Presepsin is a novel biomarker to diagnose sepsis but its prognostic value has not been comprehensively reviewed. We conducted this meta-analysis to evaluate the mortality prediction value o
