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Ariana Kamberi1, Benjamin Weitz1, Julie Flahive2
1Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States.
This study tested the Adapt2Quit recommender system to increase smoking cessation in socioeconomically disadvantaged individuals. The system uses machine learning to tailor messages, aiming to improve quit rates in this high-risk population.
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