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Updated: Jun 16, 2025

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缓解阿片类药物使用障碍中的社会人口统计偏差预测:公平意识的机器学习框架

Mohammad Yaseliani1, Md Noor-E-Alam2,3, Md Mahmudul Hasan1,4

  • 1Department of Pharmaceutical Outcomes and Policy, College of Pharmacy, University of Florida, Gainesville, FL, United States.

JMIR AI
|August 20, 2024
PubMed
概括

这项研究开发了一种机器学习偏差缓解算法和一个公平意识的分类器,以改善阿片类药物使用障碍 (OUD) 的预测,显著减少社会人口差异并保持高准确度.

关键词:
偏见缓解和减轻偏见的方法公平和偏见的公平性和偏见机器学习是机器学习.大多数投票方式."阿片类药物使用障碍"

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