Mapping of machine learning approaches for description, prediction, and causal inference in the social and health sciences.

The article discusses the mapping of machine learning (ML) approaches for description, prediction, and causal inference in the social and health sciences. It provides a comprehensive, systematic meta-mapping of research questions in the social and health sciences to appropriate ML approaches by incorporating the necessary requirements to statistical analysis in these disciplines.