We propose an information extraction framework to support automated construction of decision models in biomedicine. Our proposed technique classifies text-based documents from a large biomedical literature repository, e.g., MEDLINE, into predefined categories, and identifies important keywords for each category based…

To investigate the influence of input from fellow group members in a constrained decision-making context, we develop four 2-armed bandit tasks in which subjects freely select one of two options (A or B) and are informed of the resulting reward…