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  "path": "/news/2026-03-machine-key-predictors-alcohol-cannabis.html",
  "publishedAt": "2026-03-13T15:10:02.000Z",
  "site": "https://medicalxpress.com",
  "textContent": "The frequency of substance use, early age of initiation, and cannabis-related memory impairments are among the primary factors contributing to driving under the influence, according to a new analysis using machine learning. Impaired driving is known to be influenced by a range of behavioral, demographic, and contextual factors.",
  "title": "Machine learning models identify key predictors of driving under the influence of alcohol or cannabis"
}