V. Bremer

发表

Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

H. Riper, M. Hoogendoorn, B. Funk, 2018, Journal of medical Internet research.

Predicting the Individual Mood Level based on diary Data

Burkhardt Funk, Dennis Becker, Dirk Lehr, 2017, ECIS.

Evaluation of a temporal causal model for predicting the mood of clients in an online therapy

Mark Hoogendoorn, Burkhardt Funk, Heleen Riper, 2020, Evidence-Based Mental Health.

Predicting therapy success for treatment as usual and blended treatment in the domain of depression

Mark Hoogendoorn, Burkhardt Funk, Heleen Riper, 2017, Internet interventions.

Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

H. Riper, B. Funk, V. Bremer, 2019, Depression research and treatment.

How to Predict Mood? Delving into Features of Smartphone-Based Data

Burkhardt Funk, Heleen Riper, Dennis Becker, 2016, AMCIS.

Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach

Lee M Ritterband, Philip I Chow, Burkhardt Funk, 2020, Journal of medical Internet research.

Developing a Process for the Analysis of User Journeys and the Prediction of Dropout in Digital Health Interventions: Machine Learning Approach (Preprint)

Philip I. Chow, L. Ritterband, F. Thorndike, 2020 .

Predicting Therapy Success and Costs for Personalized Treatment Recommendations Using Baseline Characteristics: Data-Driven Analysis

H. Riper, M. Hoogendoorn, Ward van Breda, 2018, Journal of medical Internet research.

Heterogeneity Matters: Predicting Self-Esteem in Online Interventions Based on Ecological Momentary Assessment Data

H. Riper, V. Bremer, Burkhardt Funk, 2019, Depression research and treatment.