Long-term trajectories: Predicting long-term healthcare spending changes using longitudinal modeling methods in Medicare patients
Observing versus predicting: initial patterns of filling predict long-term adherence more accurately than high-dimensional modeling techniques
Longitudinal patterns of spending enhance the ability to predict costly patients: a novel approach to identify patients for cost containment
Department of Medicine, Brigham and Women's Hospital and Harvard Medical School
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