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收藏Evaluating the impact of data biases on algorithmic fairness and clinical utility of machine learning models for prolonged opioid use predictionNaderalvojoud, B.; Curtin, C.; Asch, S.M.; Humphreys, k.; Hernandez-Boussard, T. 评估数据偏差对机器学习模型在预测长期阿片类药物使用方面的算法公平性和临床实用性的影响。JAMIA Open 2025, 8, ooaf115. [Google Scholar] [CrossRef] [PubMed]
Naderalvojoud, Behzad; Curtin, Catherine; Asch, Steven M.; Humphreys, Keith; Hernandez-Boussard, Tina
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收藏Predicting treatment retention in medication for opioid use disorder: a machine learning approach using NLP and LLM-derived clinical features预测阿片类药物使用障碍药物治疗保留率:一种基于NLP和LLM衍生临床特征的机器学习方法
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.
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收藏Evaluating a 30-day alcohol abstinence challenge in heavy-drinking individuals with and without chronic pain: Feasibility, safety, and perceived benefits评估有无慢性疼痛的重度饮酒者参与30天酒精戒断挑战的可行性、安全性与感知益处
You, DS; Ziadni, MS; Vest, N; Megerdichian, N; Maronesy, T; Castro, RJ; Darnall, BD; Mackey, SC; Humphreys, K
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收藏Predictability of buprenorphine-naloxone treatment retention: A multi-site analysis combining electronic health records and machine learning
Haredasht, 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.
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