Predicting goal attainment in process-oriented behavioral interventions using a data-driven system identification approach

Behavioral interventions (such as those developed to increase physical activity, achieve smoking cessation, or weight loss) can be represented as dynamic process systems incorporating a multitude of factors, ranging from cognitive (internal) to environmental (external) influences. This facilitates t...

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Veröffentlicht in:	Journal of process control 2024-07, Vol.139, p.103242, Article 103242
Hauptverfasser:	Banerjee, Sarasij, Kha, Rachael T., Rivera, Daniel E., Hekler, Eric
Format:	Artikel
Sprache:	eng
Schlagworte:	Data-driven estimation mHealth Model validation Modeling and identification Personalized health Stochastic search
Online-Zugang:	Volltext
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