Vincent Bremer
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Vincent Bremer
- Business informatics
Research areas
- 2020
- Published
Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach
Bremer, V., Chow, P., Funk, B., Thorndike, F. P. & Ritterband, L. M., 28.10.2020, In: Journal of Medical Internet Research. 22, 10, 20 p., e17738.Research output: Journal contributions › Conference article in journal › Research › peer-review
- Published
Analyzing User Journey Data In Digital Health: Predicting Dropout From A Digital CBT-I Intervention
Bremer, V., Chow, P., Funk, B., Thorndike, F. & Ritterband, L., 27.05.2020, In: Sleep. 43, Supplement 1, p. A460 1 p., 1204.Research output: Journal contributions › Conference abstract in journal › Research › peer-review
- Published
Evaluation of a temporal causal model for predicting the mood of clients in an online therapy
Becker, D., Bremer, V., Funk, B., Hoogendoorn, M., Rocha, A. & Riper, H., 11.02.2020, In: BMJ mental health. 23, 1, p. 27-33 7 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 2019
- Published
Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data
Bremer, V., Funk, B. & Riper, H., 13.01.2019, In: Depression Research and Treatment. 2019, 9 p., 3481624.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
A two-step approach for the prediction of mood levels based on diary data
Bremer, V., Becker, D., Genz, T., Funk, B. & Lehr, D., 2019, Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2018, Proceedings: European Conference, ECML PKDD 2018, Dublin, Ireland. Brefeld, U., Curry, E., Daly, E., MacNamee, B., Marascu, A., Pinelli, F., Berlingerio, M. & Hurley, N. (eds.). Cham: Springer International Publishing AG, p. 626-629 4 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11053 LNAI).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- 2018
- Published
Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis
Bremer, V., Becker, D., Kolovos, S., Funk, B., van Breda, W., Hoogendoorn, M. & Riper, H., 21.08.2018, In: Journal of Medical Internet Research. 20, 8, 11 p., e10275.Research output: Journal contributions › Journal articles › Research › peer-review
- Published
Investigating Factors on R estorative Sleep Quality and its Relationship with Personal Work Performance - An Analysis of Diary Data
Bremer, V., Funk, B. & Lehr, D., 24.07.2018, Cornell: PsyArXiv, 14 p.Research output: Working paper › Working papers
- Published
Predicting Therapy Success For Treatment as Usual and Blended Treatment in the Domain of Depression
van Breda, W. R. J., Bremer, V., Becker, D., Funk, B., Ruwaard, J. & Riper, H., 01.06.2018, In: Internet Interventions. 12, p. 100-104 5 p.Research output: Journal contributions › Journal articles › Research › peer-review
- 2017
- Published
Predicting the Individual Mood Level based on Diary Data
Bremer, V., Becker, D., Funk, B. & Lehr, D., 06.2017, Proceedings of the 25th European Conference on Information Systems, ECIS 2017. AIS eLibrary, p. 1161-1177 17 p. (Proceedings of the 25th European Conference on Information Systems, ECIS 2017).Research output: Contributions to collected editions/works › Article in conference proceedings › Research › peer-review
- Published
Analysing clickstream data: Do paid and organic search affect each other?
Bremer, V. & Funk, B., 04.04.2017, In: International Journal of Electronic Business. 13, 2/3, p. 205-215 11 p., 5.Research output: Journal contributions › Journal articles › Research › peer-review