Identifying unreliable health information with fast-and-frugal trees

Consumers need independent health information to evaluate health care services. Fast-and-frugal decision trees can reduce complexity and help consumers identify useful health information. Together with experts and laypeople and based on machine learning methods, we developed a fast-and-frugal tree that warns consumers about unreliable health information. Integrated learning methods, we developed a fast-and-frugal tree that warns consumers about unreliable health information. Integrated into the RisikoKompass-App (RiskCompass-App), the decision tree enhances consumer’s risk literacy.