Making the most out of timeseries symptom data: A machine learning study on symptom predictions of internet-based CBT

Publikation: Beiträge in ZeitschriftenZeitschriftenaufsätzeForschungbegutachtet

Authors

  • Nils Hentati Isacsson
  • Kirsten Zantvoort
  • Erik Forsell
  • Magnus Boman
  • Viktor Kaldo

Objective: Predicting who will not benefit enough from Internet-Based Cognitive Behavioral (ICBT) Therapy early on can assist in better allocation of limited mental health care resources. Repeated measures of symptoms during treatment is the strongest predictor of outcome, and we want to investigate if methods that explicitly account for time-dependency are superior to methods that do not, with data from (a) only two pre-treatment timepoints and (b) the pre-treatment timepoints and three timepoints during initial treatment. Methods: We use 1) commonly used time-independent methods (i.e., Linear Regression and Random Forest models) and 2) time-dependent methods (i.e., multilevel model regression, mixed-effects random forest, and a Long Short-Term Memory model) to predict symptoms during treatment, including the final outcome. This is done with symptom scores from 6436 ICBT patients from regular care, using robust multiple imputation and nested cross-validation methods. Results: The models had a 14 %–12 % root mean squared error (RMSE) in predicting the post-treatment outcome, corresponding to a balanced accuracy of 67–74 %. Time-dependent models did not have higher accuracies. Using data for the initial treatment period (b) instead of only from before treatment (a) increased prediction results by 1.3 % percentage points (12 % to 10.7 %) RMSE and 6 % percentage points BACC (69 % to 75 %). Conclusion: Training prediction models on only symptom scores of the first few weeks is a promising avenue for symptom predictions in treatment, regardless of which model is used. Further research is necessary to better understand the interaction between model complexity, dataset length and width, and the prediction tasks at hand.

OriginalspracheEnglisch
Aufsatznummer100773
ZeitschriftInternet Interventions
Jahrgang38
Anzahl der Seiten8
ISSN2214-7829
DOIs
PublikationsstatusErschienen - 12.2024

Bibliographische Notiz

Publisher Copyright:
© 2024 The Authors

DOI

Zuletzt angesehen

Projekte

  1. ZIM - SmartPress

Publikationen

  1. Lyapunov stability analysis to set up a saturating PI controller with anti-windup for a mass flow system
  2. Media-Assisted Foreign Language Learning - Concepts and Functions
  3. Effect of grain size and structure, solid solution elements, precipitates and twinning on nanohardness of Mg-Re alloys
  4. An Exploration of humans‘ ability to recognize emotions displayed by robots
  5. Using Digitalization As An Enabler For Changeability In Production Systems In A Learning Factory Environment
  6. Training in Components of Problem-Solving Competence
  7. Dialogic interactions in higher vocational learning environments in mainland China
  8. Anwendungsprogrammierung mit Embedded-SQL
  9. Metamodelizing the Territory
  10. Diversity Management and Corporate Change: Implications for Co-Determination
  11. Is implicit Theory of Mind real but hard to detect?
  12. Deciding between the Covariance Analytical Approach and the Change-Score Approach in Two Wave Panel Data
  13. Policy implementation through multi-level governance
  14. Effectiveness of self-generation during learning is dependent on individual differences in need for cognition
  15. Accuracy Improvement of Vision System for Mobile Robot Navigation by Finding the Energetic Center of Laser Signal
  16. Activity–rest schedules in physically demanding work and the variation of responses with age
  17. Determinants of entrepreneurial intent: A meta-analytic test and integration of competing models
  18. Internal reference price response across store formats
  19. Sustainable Consumption - Mapping the Terrain
  20. Chip extrusion with integrated equal channel angular pressing
  21. Exploring the dark and unexpected sides of digitalization
  22. Endemic predators, invasive prey and native diversity
  23. Halb voll oder halb leer?
  24. IT Governance in Scaling Agile Frameworks
  25. How difficult is the adaptation of POS taggers?
  26. Predictors of adherence to public health behaviors for fighting COVID-19 derived from longitudinal data
  27. Digital and IT-Enabled Organizational Transformation - Where Do We Go From Here?
  28. How Differences in Ratings of Odors and Odor Labels Are Associated with Identification Mechanisms
  29. Determinants of mandatory goodwill disclosure
  30. Evolutionary clustering of Lagrangian trajectories in turbulent Rayleigh-Bénard convection flows
  31. A new method for collecting agile tiger beetles by live pitfall trapping
  32. Structure and Organization of Product Development Projects