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.

April 2021 

Using machine learning to identify predictors of imminent drinking and create tailored messages for at-risk drinkers experiencing homelessness

Scott T. Walters, Michael S. Businelle, Robert Suchting, Xiaoyin Lia, Emily T. Hébert, Eu-n-Young Muna

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. 

April 2021 

Examining moment to moment affective determinants of smoking rate following a quit attempt among homeless daily smokers

Elaine J.Savoy, Michael S. Businelle, Nga Nguyen, Tzu-An Chen, Clayton Neighbors, Peter J. Norton, Matthew Tainge, Lorraine R. Reitzel

April 2021 

Assessment of Symptoms Around the Clock: Implications for Addiction and Other Neuropsychiatric Diseases

Karen Gamble, Michael Businelle, Chaelin Karen Ra, Karen Cropsey

 

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