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Model Exploration of an Information-Based Healthcare Intervention Using Parallelization and Active Learning
2020
Journal of Artificial Societies and Social Simulation
This paper describes the application of a large-scale active learning method to characterize the parameter space of a computational agent-based model developed to investigate the impact of CommunityRx, a clinical information-based health intervention that provides patients with personalized information about local community resources to meet basic and self-care needs. The di usion of information about community resources and their use is modeled via networked interactions and their subsequent e
doi:10.18564/jasss.4379
fatcat:exnhnzw3kjh6fh6qab2g36byry