Mapping the landscape of machine learning models used for predicting transfusions in surgical procedures: a scoping review - Duranteau, Olivier; Blanchard, Florian; Popoff, Benjamin; van Etten-Jamaludin, Faridi S.; Tuna, Turgay; Preckel, Benedikt (BMC medical informatics and decision making, 2024)
Keywords: Anesthesiology; Artificial intelligence; Bioengineering; Blood pressure; Blood products; Blood Transfusion; Blood transfusions; Body mass index; Body size; Case reports; Creatinine; Data collection; Deep learning; Fibrinogen; Forecasts and trends; Health aspects; Health Informatics; Hemoglobin; Hemorrhage; Humans; Information Systems and Communication Service; Keywords; Learning algorithms; Leukocytes; Life Sciences; Literature reviews; Machine Learning; Management of Computing and Information Systems; Massive haemorrhage; Medicine; Medicine & Public Health; Methodology; Plasma; Prediction; Prediction models; Programming languages; Python; Regression analysis; Risk; Risk Assessment; Risk factors; Software; Statistical analysis; Statistical models; Surgery; Surgical Procedures, Operative; Thromboplastin; Transfusion; Variables; Belgium; United States--US; Transfusion; Massive haemorrhage; Machine learning; Prediction