mRisk Paper Exploration of Sensor-derived Contexts on the Likelihood of Adverse Behaviors comes out of TR&D1

Passive detection of risk factors via wearable and mobile sensors has created new opportunities to improve the effectiveness of behavioral interventions. See the mRisk paper’s exploration of sensor-derived contexts on the likelihood of adverse behavior: https://t.co/CGSqqok2rA

Paper Citation:

Ullah MA, Chatterjee S, Fagundes CP, Lam C, Nahum-Shani I, Rehg JM, Wetter DW, Kumar S. mRisk: Continuous Risk Estimation for Smoking Lapse from Noisy Sensor Data with Incomplete and Positive-Only Labels. Proc ACM Interact Mob Wearable Ubiquitous Technol. 2022 Sep;6(3):143.  https://pmc.ncbi.nlm.nih.gov/articles/PMC9979627/