AIMC Topic: Smoking Prevention

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Using machine learning to evaluate treatment effects in multiple-group interrupted time series analysis.

Journal of evaluation in clinical practice Jun 11, 2018
RATIONALE, AIMS, AND OBJECTIVES: Interrupted time series analysis (ITSA) is a popular evaluation methodology in which a single treatment unit's outcome is studied over time, and the intervention is expected to "interrupt" the level and/or trend of th...
Humans Machine Learning Research Design Treatment Outcome Evaluation Studies as Topic Discriminant Analysis California Propensity Score Program Evaluation Commerce Interrupted Time Series Analysis Smoking Prevention
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AI for Tobacco Control: Identifying Tobacco-Promoting Social Media Content Using Large Language Models.

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco May 22, 2025
INTRODUCTION: Tobacco companies use social media to bypass marketing restrictions. Studies show that exposure to tobacco promotion on social media influences subsequent smoking behavior, yet it is challenging to monitor such content. We developed an ...
Humans Artificial Intelligence Social Media Tobacco Products Turkey Large Language Models Marketing Smoking Prevention Tobacco Industry Tobacco Control
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