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自动编码器的调整用于从临床笔记中减少稀疏性 代表性学习学习

Thanh-Dung Le1,2, Rita Noumeir1, Jerome Rambaud2

  • 1Biomedical Information Processing Laboratory, Ecole de Technologie SuperieureUniversity of Quebec Montreal QC H3C 1K3 Canada.

IEEE journal of translational engineering in health and medicine
|October 11, 2023
PubMed
概括

本研究引入了一种自编码算法,以减少临床文本数据的稀疏性,提高小型数据集的分类准确性. 该方法通过压缩特征空间来提高神经网络性能,达到高达92%的准确性.

关键词:
临床自然语言处理 临床自然语言处理自动编码器自动编码器心脏衰竭是因为心脏衰竭.稀缺性是一种稀缺性.

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