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11:00 am - 12:30 pmSunday, September 18
Lower Lobby
Machine learning for personalized mobile health interventions
Lower Lobby
Machine learning for personalized mobile health interventions
University of Michigan
Mobile health (mHealth) is a fast emerging technology with a huge potential to reach underserved populations in both developing as well as developed countries. Realizing this potential needs a multidisciplinary... Read more

Description

Mobile health (mHealth) is a fast emerging technology with a huge potential to reach underserved populations in both developing as well as developed countries. Realizing this potential needs a multidisciplinary approach where design, behavioral science, machine learning, and statistics experts work together in teams with a patient-centered focus. I will highlight the role that machine learning and statistics can play to address a fundamental issue in mHealth: personalizing treatment to the needs of particular individuals in specific contexts. I will also describe HeartSteps, a 5 year long NHLBI funded project to build an mHealth intervention that targets physical activity maintenance in patients after cardiac rehab.

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