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Disambiguation of "Schlee, Winfried"

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A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data

, , , , , , and . Advances in Intelligent Data Analysis XXI, page 459-471. Springer Nature Switzerland, (2023)
DOI: https://doi.org/10.1007/978-3-031-30047-9_36

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Winfried Schlee

Dieter Schlee

Hans Schlee

Agnes Schlee

Edgar Schlee

 

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Entwicklung mobiler Apps: Konzepte, Anwendungsbausteine und Werkzeuge im Business und E-Health, , , , , and . eXamen.press Springer Vieweg, Berlin, (2015)Predicting the presence of tinnitus using ecological momentary assessments, , , , , , , , and . Scientific Reports, 13 (1): 8989 (2023)Are Non-Experts Able to Comprehend Business Process Models - Study Insights Involving Novices and Experts., , , , , , and . CoRR, (2021)Medical device regulation efforts for mHealth apps - An experience report of Corona Check and Corona Health., , , , , , , and . CoRR, (2021)Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity., , , , , , , and . Int. J. Data Sci. Anal., 9 (1): 1-15 (2020)Expect the gap: A recommender approach to estimate the absenteeism of self-monitoring mHealth app users., , , , and . DSAA, page 1-10. IEEE, (2022)Patient Empowerment Through Summarization of Discussion Threads on Treatments in a Patient Self-help Forum, , , , , , , , , and 1 other author(s). page 229-233. Springer Singapore, (2018)Best Paper Award (2. Position) at the Int. Conf. on Biomedical and Health Informatics (ICBHI 2017).Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App., , , , , and . CBMS, page 354-359. IEEE, (2021)Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data*., , , , and . EMBC, page 816-819. IEEE, (2021)Outpatient Tinnitus Clinic, Self-Help Web Platform, or Mobile Application to Recruit Tinnitus Study Samples?, , , , , , , , , and 1 other author(s). Frontiers in Aging Neuroscience, (2017)