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SaveShare Save Share Save Share Save Share Save Share Save Share Save Share Save Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features
Nateghi Haredasht, Fateme; Lopez, Ivan; Tate, Steven; Ashtari, Pooya; Chan, Min Min; Kulkarni, Deepali; Chen, Chwen-Yuen Angie; Vangala, Maithri; Griffith, Kira; Bunning, Bryan; Miner, Adam S.; Hernandez-Boussard, Tina; Humphreys, Keith; Lembke, Anna; Vance, L. Alexander; Chen, Jonathan H. Share Save Share Save Share Save Share Save Share Save Share Save Evaluating a 30-day alcohol abstinence challenge in heavy-drinking individuals with and without chronic pain: Feasibility, safety, and perceived benefitsYou, DS; Ziadni, MS; Vest, N; Megerdichian, N; Maronesy, T; Castro, RJ; Darnall, BD; Mackey, SC; Humphreys, K Share Save Share Save Share Save Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learningHaredasht, Fateme Nateghi; Fouladvand, Sajjad; Tate, Steven; Chan, Min Min; Yeow, Joannas Jie Lin; Griffiths, Kira; Lopez, Ivan; Bertz, Jeremiah W.; Miner, Adam S.; Hernandez-Boussard, Tina; Chen, Chwen-Yuen Angie; Deng, Huiqiong; Humphreys, Keith; Lembke, Anna; Vance, L. Alexander; Chen, Jonathan H. Share Save Share Save Share Save 
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