Machine Learning Classification of Smoking Behaviours—From Social Environment to the Prefrontal Cortex
Pablo Reinhardt, Norman Zacharias, Marinus Fislage, Justin Böhmer et autres
The pronounced heterogeneity in smoking trajectories-ranging from occasional or heavy use to successful quitting -highlights substantial interindividual variation within the smoking population. Machine learning is particularly well suited to capture these complex patterns that may be challenging for traditional inferential statistics to …
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Addiction Biology