Defining persistent critical illness based on growth trajectories in patients with sepsis - Zhang, Zhongheng; Ho, Kwok M.; Gu, Hongqiu; Hong, Yucai; Yu, Yunsong (Critical care (London, England), 2020)
Keywords: Aged; Analysis; Blood; Care and treatment; Classification; Cohort Studies; Critical care; Critical Care Medicine; Critical Illness - classification; Databases, Factual; Development and progression; Diseases; Emergency Medicine; Female; Growth; Health Resources; Hospital admission and discharge; Hospital Mortality; Hospitalization; Humans; Infection; Infections; Intensive; Intensive care; Intensive Care Units; Machine learning; Male; Medical research; Medicine; Medicine & Public Health; Middle Aged; Mortality; Online databases; Organ Dysfunction Scores; Patient Discharge; Persistent critical illness; Physiological aspects; Physiology; Resource allocation; Retrospective Studies; Sepsis; Sepsis - classification; Sepsis - diagnosis; Sepsis - therapy; Time; Unsupervised machine learning; Urea; Urine; Variables; Unsupervised machine learning; Sepsis; Persistent critical illness