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Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development
Perski O,
Kale D,
Leppin C,
Okpako T,
Simons D,
et al.
(2024)
Supervised machine learning to predict smoking lapses from Ecological Momentary Assessments and sensor data: Implications for just-in-time adaptive intervention development.
PLOS Digital Health 3(8): e0000594.
https://doi.org/10.1371/journal.pdig.0000594