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关于机器学习预测分析在医疗保健中的潜在危害的开发者观点:定性分析

Ariadne A Nichol1, Pamela L Sankar2, Meghan C Halley1

  • 1Center for Biomedical Ethics, Stanford University School of Medicine, Stanford, CA, United States.

Journal of medical Internet research
|November 16, 2023
PubMed
概括

机器学习预测分析 (MLPA) 开发人员认识到医疗保健中的潜在危害,但缺乏强大的安全程序. 有效的自我监管要求开发人员承担责任,需要教育来弥合"原则与实践"的差距.

关键词:
ML ML 在 ML在MLPA中,我们可以使用MLPA.算法算法是一种算法.开发人员是开发商的开发者.伦理学 伦理 伦理学医疗保健的质量 医疗保健的质量机器学习是机器学习.机器学习 预测分析责任就是责任,责任就是责任.

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