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Rapid and Reliable Computational Markers for Predicting Daily Smoking Behavior and Smoking Cessation Treatment Outcome

2025-02-05

Abstract excerpt

<p>Nicotine addiction is a complex disorder shaped by factors such as craving, mood, and neurocognitive processes. While ecological momentary assessment (EMA) provides a real-time method for capturing dynamic changes in behavior, traditional tasks and surveys are often too lengthy and demanding for repeated use in clinical settings. Integrating EMA with computational approaches offers a promising solution to predi...

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Literature Corpus work
c78606a5-445d-591a-8cb5-7d86a728de6c
DOI
10.31234/osf.io/bj7fd_v1
Open publication

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Rapid and Reliable Computational Markers for Predicting Daily Smoking Behavior and Smoking Cessation Treatment OutcomeDOI 10.31234/osf.io/bj7fd_v1
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