Hong, SaahoonWalton, BettyKim, Hea-Won2022-08-022022-08-022022-07-29Hong, S., Walton, B., & Kim, H. (2022, July 29). Recovery from Problem Gambling: A Machine Learning Approach. Paper presented at the State Epidemiological Outcomes Workgroup (SEOW) 2022 Bimonthly Meeting, Indianapolis, IN.https://hdl.handle.net/1805/29704The primary purpose of this study was to examine and identify intersections of the first wave of the COViD-19 pandemic, behavioral health needs/strengths, demographic characteristics, and recovery from problem gambling. By analyzing Adult Needs and Strengths Assessment (ANSA) datasets, we identified critical factors associated with improvement from problem gambling. In addition, we discussed risk factors that led to the continued struggling with problem gambling.enProblem gamblingGambling addiction recoveryMachine learningRecovery from Problem Gambling: A Machine Learning ApproachPresentation