Predictive modeling in pediatric traumatic brain injury using machine learning Data analysis, statistics and modelling

• Main Authors: Chong, S.-L, Liu, N, Barbier, S, Ong, M.E.H
• Other Authors: DUKE-NUS MEDICAL SCHOOL
• Format: Article
• Published: BioMed Central Ltd. 2020
• Subjects: algorithm; Brain Injuries; case control study; child; complication; factual database; female; health survey; human; injury scale; machine learning; male; multivariate analysis; preschool child; receiver operating characteristic; retrospective study; skull fracture; statistical model; statistics and numerical data; theoretical model; traffic accident; unconsciousness; vomiting; x-ray computed tomography; Accidents, Traffic; Algorithms; Case-Control Studies; Child; Child, Preschool; Databases, Factual; Female; Humans; Injury Severity Score; Logistic Models; Machine Learning; Male; Models, Theoretical; Multivariate Analysis; Population Surveillance; Retrospective Studies; ROC Curve; Skull Fractures; Tomography, X-Ray Computed; Unconsciousness; Vomiting
• Online Access: https://scholarbank.nus.edu.sg/handle/10635/174294
• Institution: National University of Singapore

10.1186/s12874-015-0015-0