Testing a Machine Learning–Based Adaptive Motivational System for Socioeconomically Disadvantaged Smokers (Adapt2Quit): Protocol for a Randomized Controlled Trial

Ariana Kamberi   ¹ , MBA ;   Benjamin Weitz   ¹ , BS ;   Julie Flahive   ² , MS ;   Julianna Eve   ³ , PhD ;   Reem Najjar   ¹ , BS ;   Tara Liaghat   ⁴ , MS ;   Daniel Ford   ⁴ , MD ;   Peter Lindenauer   ³ , MD ;   Sharina Person   ² , PhD ;   Thomas K Houston   ⁵ , MD, MPH ;   Megan E Gauvey-Kern   ⁴ , MS ;   Jackie Lobien   ⁴ , BSN, CCRP-CP ;   Rajani S Sadasivam   ¹ , PhD

¹ Division of Health Informatics and Implementation Science, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States

² Division of Biostatistics and Health Services Research, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, MA, United States

³ Department of Healthcare Delivery and Population Sciences, University of Massachusetts Chan Medical School-Baystate, Springfield, MA, United States

⁴ Institute for Clinical and Translational Research, School of Medicine, Johns Hopkins University, Baltimore, MD, United States

⁵ Department of Internal Medicine, Wake Forest University, Winston-Salem, NC, United States