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Updated: Jan 17, 2026

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在医疗保健中运行机器学习应用的成熟度框架:范围审查

Yutong Li1, Julie Tian1, Ariana Xu1

  • 1Department of Psychiatry, University of Alberta, 4-142 KATZ, Edmonton, AB, T6G 2R3, Canada, 1 780-407-6504.

Journal of medical Internet research
|September 19, 2025
PubMed
概括

本研究探讨了医疗保健中的机器学习操作 (MLOps),提出了一个成熟度框架. 结果强调需要更好的基础设施和利益相关者参与,以推进ML在临床实践中的应用.

关键词:
ML ML 在 ML在MLOps中,MLOps是最大的.临床实践中的临床实践数据数据的数据数据的数据.我们的数据库数据库数据库数据库.医疗保健 医疗保健 医疗保健医疗保健应用程序 医疗保健应用医疗保健的实施 卫生保健的实施机器学习是机器学习.机器学习操作机器学习操作.期限框架 期限框架 期限框架 期限框架范围审查 范围审查审查

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