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Updated: May 12, 2026

Predicting Treatment Response to Image-Guided Therapies Using Machine Learning: An Example for Trans-Arterial Treatment of Hepatocellular Carcinoma
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中国医疗命名实体认可整合对抗性培训和功能增强功能

Xu Zhang1, Youchen Kao1,2, Shengbing Che3

  • 1College of Computer Science and Mathematics, Central South University of Forestry and Technology, No.498 Shaoshan South Road, Wenyuan Street, Changsha, 410004, Hunan, China.

Scientific reports
|April 28, 2025
PubMed
概括

本研究介绍了一种新的中国临床命名实体识别模型,使用BERT和对抗性增强. 该模型通过增强医疗数据提取来显著提高医疗保健专业人员的诊断准确性和效率.

关键词:
对抗性的训练是对抗性的训练.这是BPBIC模型.数据增强数据增强数据增强实体提取 实体提取知识图表知识图表

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