Computerized decision support and machine learning applications for the prevention and treatment of childhood obesity: A systematic review of the literature

•Computerized decision support interventions for childhood obesity were found to be useful for children and their carers.•Machine learning techniques have been found to generate useful knowledge to predict (mainly) or diagnose childhood obesity.•The integration of machine learning algorithms into electronic tools, is needed to develop smart and impactful digital health interventions.•Further rigorous studies in the area of computerized decision support and machine learning applications for childhood obesity care are needed.