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DF-DM:在人工智能时代的多式联网数据融合的基础过程模型

David Restrepo1,2, Chenwei Wu3, Constanza Vásquez-Venegas4

  • 1Laboratory for Computational Physiology, Massachusetts Institute of Technology, Cambridge, Massachusetts, United States of America.

Research square
|May 15, 2024
PubMed
概括

本研究引入了一种新的数据挖掘数据融合模型,以有效地整合各种数据. 这种新的方法降低了成本和偏差,提高了医疗保健及其他领域复杂数据分析的可靠性.

关键词:
数据融合数据融合嵌入式 嵌入式基础模型 基础模型多式联络数据多式联络数据

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