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Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

Feature Selection for Physical Activity Prediction Using Ecological Momentary Assessments to Personalize Intervention Timing: Longitudinal Observational Study

,” yes or no), which we used as the primary outcome in our analyses (see Haag et al [15] for cross-validation of these PA self-reports against wearable data). For this EMA sampling, we first used the Smarteater app (internally developed by the University of Salzburg), and in a later recruitment phase, switched to the m-Path platform [30]. However, each participant only used 1 platform, and assessments were identical on both platforms.

Devender Kumar, David Haag, Jens Blechert, Josef Niebauer, Jan David Smeddinck

JMIR Mhealth Uhealth 2025;13:e57255

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