Ontology highlight
ABSTRACT: Introduction
In the US, women are one of the fastest-growing segments of the prison population and more than a quarter of women in state prison are incarcerated for drug offenses. Substance use criminal diversion programs can be effective. It may be beneficial to identify individuals who are most likely to complete the program versus terminate early as this can provide information regarding who may need additional or unique programming to improve the likelihood of successful program completion. Prior research investigating prediction of success in these programs has primarily focused on demographic factors in male samples.Methods
The current study used machine learning (ML) to examine other non-demographic factors related to the likelihood of completing a substance use crim
SUBMITTER: Choquette EM
PROVIDER: S-EPMC11408307 | biostudies-literature | 2024
REPOSITORIES: biostudies-literature