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Updated: Jan 13, 2026

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基于电子健康记录的二次流行病学分析的德国人工智能数据网络的代表性

Sabine Eichhorn1, Franz Niklas Mitze1, Fritz Wagner1

  • 1University of Witten/Herdecke, Department of Otorhinolaryngology and Head and Neck Surgery, St. Josefs-Hospital, Hagen, Germany.

PloS one
|January 6, 2026
PubMed
概括

联合机器学习 (ML) 数据网络是流行病学大数据分析的德国人口的代表. 这种验证确保了使用电子病历的未来研究的科学有效性.

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