This Project Grant award from the National Institutes of Health (NIH) Trans-NIH Research Support program (CFDA 93.310) provides $399,988 to the University of California Irvine (UC Irvine) to conduct research on applying machine learning and data integration techniques to analyze heterogeneous mobile health data from wearable devices. The goal is to develop predictive models and sequential optimization methods to enhance health outcomes and address health disparities, particularly among diverse populations of women in the U.S. The 4-year project will: (1) create deep neural models to understand and forecast individual health trajectories while capturing shared patterns across subjects; (2) develop novel data integration techniques for multi-resolution mobile health data; and (3) implement a reinforcement learning platform to identify optimal personalized intervention strategies. The findings are expected to enable early prevention and intervention approaches to improve overall well-being for women.
Generated 2/25/25, 2:46 AM