A research lab using mobile health technologies.
Our lab uses ecological momentary assessments (EMAs), passive sensor data, and just-in-time adaptive interventions (JITAI) to improve understanding of relationships between environment, thoughts, feelings, and health behaviors.
This study used machine learning techniques to create a drinking risk algorithm that predicted 82% of imminent drinking episodes within 4 hours of the first drink of the day, and correctly identified 76% of nondrinking episodes.
Elaine J.Savoy, Michael S. Businelle, Nga Nguyen, Tzu-An Chen, Clayton Neighbors, Peter J. Norton, Matthew Tainge, Lorraine R. Reitzel
Karen Gamble, Michael Businelle, Chaelin Karen Ra, Karen Cropsey
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