A control theoretic approach to evaluate and inform ecological momentary interventions
Combined with knowledge from mental health experts, DS and control algorithms may provide powerful data-driven and personalized intervention delivery and evaluation strategies.
Authors
- Georgia Koppe (ORCID: https://orcid.org/0000-0003-2941-9238)
- Thérèse van Amelsvoort (ORCID: https://orcid.org/0000-0003-1135-5133)
- Ulrich Reininghaus (ORCID: https://orcid.org/0000-0002-9227-5436)
- Janik Fechtelpeter (ORCID: https://orcid.org/0000-0003-4424-1685)
- Daniel Durstewitz (ORCID: https://orcid.org/0000-0002-9340-3786)
- Benjamin Boecking (ORCID: https://orcid.org/0000-0002-8140-3332)
- Christian Rauschenberg (ORCID: https://orcid.org/0000-0002-6050-3297)
- Hamidreza Jalalabadi
Institutions
- Philipps University of Marburg (DE)
- King's College London (GB)
- Heidelberg University (DE)
- University Hospital Heidelberg (DE)
- Maastricht University (NL)
- Central Institute of Mental Health (DE)
- University Medical Centre Mannheim (DE)
- Charité - Universitätsmedizin Berlin (DE)
Publication Details
- Journal
- International Journal of Methods in Psychiatric Research
- Published
- 2024-10-22
- DOI
- https://doi.org/10.1002/mpr.70001
- Citations
- 8
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 4.06
Funders
- European Commission
- Deutsche Forschungsgemeinschaft
- Ministerium für Wissenschaft, Forschung und Kunst Baden-Württemberg
- Horizon 2020 Framework Programme