Our lab focuses in applied predictive modeling and informatics for mental health through multidisciplinary collaborations. We partner with clinicians, mental health specialists, engineers, computer scientists, healthcare leaders, and more, to develop, test, and implement pragmatics informatics solutions to tough problems.
We strive to add to informatics research in data-driven clinical decision support in areas like suicide risk prediction, interpretable predictive modeling, and transfer learning. We also apply analytics to inform value-based care, e.g., identifying low-value healthcare service delivery at network scale or predicting risk of hospital readmissions.
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