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From Markers to Interventions: The Case of Just-in-Time Stress Intervention.

, , , , , , , , , and . Mobile Health - Sensors, Analytic Methods, and Applications, Springer, (2017)

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Behavioral informatics: Dynamical models for measuring and assessing behaviors for precision interventions., , and . EMBC, page 190-193. IEEE, (2016)Dynamic models of stress-smoking responses based on high-frequency sensor data., , , , , , , , , and . npj Digit. Medicine, (2021)ewrapper: operationalizing engagement strategies in mHealth., , , , , , , , , and 2 other author(s). UbiComp/ISWC Adjunct, page 790-798. ACM, (2017)From Markers to Interventions: The Case of Just-in-Time Stress Intervention., , , , , , , , , and . Mobile Health - Sensors, Analytic Methods, and Applications, Springer, (2017)Geospatial Factors Associated with Participant Outcomes in an mHealth Behavior Change Intervention., , , and . AMIA, AMIA, (2022)mCrave: continuous estimation of craving during smoking cessation., , , , , , , , , and 3 other author(s). UbiComp, page 863-874. ACM, (2016)Investigating barriers and facilitators to wearable adherence in fine-grained eating detection., , , , , , , and . PerCom Workshops, page 407-412. IEEE, (2017)WillSense: Adherence Barriers for Passive Sensing Systems That Track Eating Behavior., , , and . CHI Extended Abstracts, page 2329-2336. ACM, (2017)