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| Verfasst von: | Fechtelpeter, Janik [VerfasserIn]  |
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| | Rauschenberg, Christian [VerfasserIn] |
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| | Jalalabadi, Hamidreza [VerfasserIn] |
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| | Boecking, Benjamin [VerfasserIn] |
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| | van Amelsvoort, Therese [VerfasserIn] |
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| | Reininghaus, Ulrich [VerfasserIn] |
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| | Durstewitz, Daniel [VerfasserIn] |
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| | Koppe, Georgia [VerfasserIn] |
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| Titel: | A control theoretic approach to evaluate and inform ecological momentary interventions |
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| Verf.angabe: | Janik Fechtelpeter, Christian Rauschenberg, Hamidreza Jalalabadi, Benjamin Boecking, Therese van Amelsvoort, Ulrich Reininghaus, Daniel Durstewitz, Georgia Koppe |
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| E-Jahr: | 2024 |
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| Jahr: | December 2024 |
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| Umfang: | 10 S. |
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| Fussnoten: | Erstmals veröffentlicht: 22. Oktober 2024 ; Gesehen am 08.04.2025 |
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| Titel Quelle: | Enthalten in: International journal of methods in psychiatric research |
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| Ort Quelle: | Chichester : Wiley, 1996 |
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| Jahr Quelle: | 2024 |
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| Band/Heft Quelle: | 33(2024), 4 vom: Dez., Artikel-ID e70001, Seite 1-10 |
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| ISSN Quelle: | 1557-0657 |
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| Abstract: | Objectives Ecological momentary interventions (EMI) are digital mobile health interventions administered in an individual's daily life to improve mental health by tailoring intervention components to person and context. Experience sampling via ecological momentary assessments (EMA) furthermore provides dynamic contextual information on an individual's mental health state. We propose a personalized data-driven generic framework to select and evaluate EMI based on EMA. Methods We analyze EMA/EMI time-series from 10 individuals, published in a previous study. The EMA consist of multivariate psychological Likert scales. The EMI are mental health trainings presented on a smartphone. We model EMA as linear dynamical systems (DS) and EMI as perturbations. Using concepts from network control theory, we propose and evaluate three personalized data-driven intervention delivery strategies. Moreover, we study putative change mechanisms in response to interventions. Results We identify promising intervention delivery strategies that outperform empirical strategies in simulation. We pinpoint interventions with a high positive impact on the network, at low energetic costs. Although mechanisms differ between individuals - demanding personalized solutions - the proposed strategies are generic and applicable to various real-world settings. Conclusions Combined with knowledge from mental health experts, DS and control algorithms may provide powerful data-driven and personalized intervention delivery and evaluation strategies. |
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| DOI: | doi:10.1002/mpr.70001 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1002/mpr.70001 |
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| | kostenfrei: Volltext: http://onlinelibrary.wiley.com/doi/abs/10.1002/mpr.70001 |
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| | DOI: https://doi.org/10.1002/mpr.70001 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | computational psychiatry |
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| | control theory |
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| | ecological momentary assessment |
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| | ecological momentary intervention |
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| | mobile health |
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| K10plus-PPN: | 1921782854 |
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| Verknüpfungen: | → Zeitschrift |
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¬A¬ control theoretic approach to evaluate and inform ecological momentary interventions / Fechtelpeter, Janik [VerfasserIn]; December 2024 (Online-Ressource)
