ML System Screens for Substance Use Disorder by Analyzing Decision Patterns

A novel machine learning system can screen for substance use disorder by analyzing decision-making patterns, bypassing the need for medical records entirely.

A machine learning-based system can screen for substance use disorder by analyzing a person's decision-making patterns rather than relying on medical records or self-reported data, according to @AINewsHome. The approach is notable for its indirection: instead of looking for biomarkers or clinical history, it infers risk from behavioral signatures in how people make choices.

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