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What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence.

, , , , , and . PervasiveHealth, page 216-224. ACM, (2019)

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Quantifying Subjective Well-Being Using Trends in Weekend Activity., , , and . ICHI, page 123-129. IEEE Computer Society, (2018)Placating plato with plates of pasta: An interactive tool for teaching the dining philosophers problem., , , , and . FIE, page 1-9. IEEE Computer Society, (2017)Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline., , , , and . BIRS-IMLKE, volume 10344 of Lecture Notes in Computer Science, page 150-169. Springer, (2015)Social Network Structure is Predictive of Health and Wellness., , , and . CoRR, (2018)Towards an Integrated mHealth Platform for Community-based Maternity Health Workers in Low-Income Communities., , and . PervasiveHealth, page 118-127. ACM, (2018)Long-term Compliance Habits: What Early Data Tells Us., , , , , and . CoRR, (2018)Exploring Compliance: Observations from a Large Scale Fitbit Study., , , , , , and . SocialSens@CPSWeek, page 55-60. ACM, (2017)Development and Evaluation of a Web Application for Prenatal Care Coordinators in the United States., , and . DESRIST, volume 11491 of Lecture Notes in Computer Science, page 140-156. Springer, (2019)What 30 Days Tells Us About 3 Years: Identifying Early Signs of User Abandonment and Non-Adherence., , , , , and . PervasiveHealth, page 216-224. ACM, (2019)Beyond Volume: The Impact of Complex Healthcare Data on the Machine Learning Pipeline., , , , and . CoRR, (2017)