Additional file 3 of Development and validation of a novel blending machine learning model for hospital mortality prediction in ICU patients with Sepsis
BackgroundSepsis is a global health burden characterized by high heterogeneity and uncontrolled immune response, with a notable lack of reliable methods for early prognosis and risk stratification. Ep
IntroductionSepsis is the leading cause of death in intensive care units and is characterized by multiple organ failure, including dysfunction of the immune system. In the present study, we performed
BackgroundNovel biomarkers are needed to progress toward individualized patient care in sepsis. The immune profiling panel (IPP) prototype has been designed as a fully-automated multiplex tool measuri
Introduction: We evaluated the relationship between the immature platelet fraction (IPF) and neutrophil-to-lymphocyte ratio (NLR) and their dynamic changes for sepsis prognosis.Methods: This retrospec
