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Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study

Enhancing Interpretable, Transparent, and Unobtrusive Detection of Acute Marijuana Intoxication in Natural Environments: Harnessing Smart Devices and Explainable AI to Empower Just-In-Time Adaptive Interventions: Longitudinal Observational Study

As proposed by Bae et al [43], collecting GPS data and using rounded GPS data extraction (ie, less precise location data) could be a viable approach. This avoids using raw latitude and longitude, which may contain sensitive information on specific locations. Researchers and clinicians could consider providing alternative options instead of completely disabling GPS, as GPS data contributes to the model’s accuracy.

Sang Won Bae, Tammy Chung, Tongze Zhang, Anind K Dey, Rahul Islam

JMIR AI 2025;4:e52270

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