Assessing the risk of problem gambling among lottery loyalty program members: A machine learning approach.

Journal: Addictive behaviors
Published Date:

Abstract

BACKGROUND AND AIMS: Lottery gambling is a relatively benign form of gambling. Nonetheless, individuals with gambling problems may engage in lottery play and/or play the lottery exclusively. Lottery loyalty programs have data that could be used to screen for problem gambling, as they collect information on demographics and ticket purchases from players who sign up to receive incentives. The current study evaluates the feasibility of machine learning to identify individuals who have gambling problems using data collected from a state lottery loyalty program.

Authors

  • Paul Sacco
    University of Maryland, 525 West Redwood Street, Baltimore, MD 21201, United States. Electronic address: psacco@ssw.umaryland.edu.
  • Jihyeong Jeong
    University of Maryland, 525 West Redwood Street, Baltimore, MD 21201, United States. Electronic address: jihyeong.jeong@ssw.umaryland.edu.