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Digital Phenotyping to Enhance Substance Use Treatment During the COVID-19 Pandemic
Dr David Epstein’s group combined passive geographical input with machine learning tools to predict opioid drug craving or stress 90 minutes into the future among patients with opioid use disorder on maintenance buprenorphine or methadone; they achieved a positive predictive value of 0.93 [19]. Another ongoing study by Curtin et al [20] implements digital phenotyping based on machine learning tools and contextualized static and dynamic risk signals to predict lapse in opioid use disorder.
JMIR Ment Health 2020;7(10):e21814
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