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Classical And Neural Network Machine Learning To Determine The Risk Of Marijuana Use, Laura Zoboroski [*], Torrey J. Wagner, Brent T. Langhals
Classical And Neural Network Machine Learning To Determine The Risk Of Marijuana Use, Laura Zoboroski [*], Torrey J. Wagner, Brent T. Langhals
Faculty Publications
Marijuana is the most commonly abused drug for military personnel tested at the Air Force Drug Testing Laboratory. A publicly available dataset of drug use, personality trait scores and demographic data was modeled with logistic regression, decision tree and neural network models to determine the extent to which marijuana use can be predicted using personality traits. While the logistic regression model had lower performance than the neural network model, it matched the sensitivity of prior work (0.80), achieved a high level of significance (p < 0.05) and yielded valuable inferences. It implied that younger, less educated individuals who exhibit sensation-seeking behavior and are open to experience tend to be at higher risk for THC use. A method for performing an iterative multidimensional neural network hyperparameter search is presented, and two iterations of a 6-dimensional search were performed. Metrics were used to select a family of 8 promising models from a cohort of 4600 models, and the best NN model’s 0.87 sensitivity improved upon the literature. The model met an f1 overfitting threshold on the test and holdout datasets, and an accuracy sensitivity analysis on a holdout-equivalent dataset yielded a 95% CI of 0.86 ± 0.04. These results have the potential to increase the efficacy of drug prevention and intervention programs.
Post-Traumatic Stress And Marijuana Outcomes: The Mediating Role Of Marijuana Protective Behavioral Strategies, Hallie R. Jordan, Michael B. Madson, Adrian J. Bravo, Matthew R. Pearson
Post-Traumatic Stress And Marijuana Outcomes: The Mediating Role Of Marijuana Protective Behavioral Strategies, Hallie R. Jordan, Michael B. Madson, Adrian J. Bravo, Matthew R. Pearson
Faculty Publications
Background: The present study investigated the mediating role of protective behavioral strategies for marijuana (PBSM) on the relationship between posttraumatic stress disorder (PTSD) and marijuana outcomes (i.e. marijuana use frequency, marijuana use quantity, cannabis use disorder (CUD) symptoms, and marijuana-related problems).
Methods: Participants were 1,107 traditional age college students (Mage = 20.26, SD = 3.32; 66.5% White, non-Hispanic; 68.8% female), who reported consuming marijuana at least once in the last 30 days and completed measures of PTSD symptoms, PBSM, and marijuana-related outcomes.
Results: PBSM significantly mediated the positive relationships between PTSD symptoms and both CUD symptoms and marijuana-related …