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Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from?

, , , , , , , , , and . DS, volume 12323 of Lecture Notes in Computer Science, page 659-673. Springer, (2020)

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Process-Driven Mobile Data Collection., , , and . EMISA Forum, 37 (1): 38-39 (2017)Entwicklung mobiler Apps: Konzepte, Anwendungsbausteine und Werkzeuge im Business und E-Health, , , , , and . eXamen.press Springer Vieweg, Berlin, (2015)Perspective on mHealth Concepts to Ensure Users' Empowerment-From Adverse Event Tracking for COVID-19 Vaccinations to Oncological Treatment., , , , , , , , , and 8 other author(s). IEEE Access, (2021)Enhancing mHealth data collection applications with sensing capabilities, , , , , , and . Frontiers in Public Health, (2022)Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health., , , , , , , and . CoRR, (2021)Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users., , , , and . DSAA, page 1-10. IEEE, (2022)Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App., , , , , and . CBMS, page 354-359. IEEE, (2021)Developing a Gamification-Based mHealth Platform to Support Orofacial Myofunctional Therapy for Children., , , and . CBMS, page 169-172. IEEE, (2023)Towards an Architecture for Collecting a Multidimensional Glioblastoma Dataset., , , , , , , , , and . CBMS, page 904-909. IEEE, (2023)The Impact of Coping Styles and Gender on Situational Coping: An Ecological Momentary Assessment Study With the mHealth Application TrackYourStress, , , , , , , , , and 2 other author(s). Frontiers in Psychology, (2022)