Predicting 30-days mortality for MIMIC-III patients with sepsis-3: a machine learning approach using XGboost - Hou, Nianzong; Li, Mingzhe; He, Lu; Xie, Bing; Wang, Lin; Zhang, Rumin; Yu, Yong; Sun, Xiaodong; Pan, Zhengsheng; Wang, Kai (Journal of translational medicine, 2020)
Keywords: Algorithms; Blood pressure; Care and treatment; Critical care; Critically ill; Health aspects; Hospital Mortality; Hospitals; Humans; Infections; Intensive care; Laboratories; Learning algorithms; Logistic Models; Logistic regression; Machine Learning; Medical prognosis; MIMIC-III; Mortality; Nomograms; Patient outcomes; Patients; Physiology; Prediction models; Prognosis; Public health; Regression analysis; ROC Curve; SAPS-II score; Sepsis; Sepsis - diagnosis; Sepsis-3; Survival; Variables; Vital signs; Xgboost; China; United States--US; Massachusetts; Logistic regression; Xgboost; MIMIC-III; SAPS-II score; Sepsis-3; Machine learning