一种用于临床病例报告的元数据提取方法，以实现对生物医学概念的深入理解
16K 次观看
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被引用 7 次
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07:50 分钟
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2018年9月20日
DOI :10.3791/58392-v
2018年9月20日
•16K 次观看
John Harry Caufield1,2 , David A. Liem1,2,3 , Anders O. Garlid1,2 , Yijiang Zhou4 , Karol Watson1,3 , Alex A. T. Bui1,5,6,7 , Wei Wang1,7,8,9 , Peipei Ping1,2,3,7,8
1The NIH BD2K Center of Excellence in Biomedical Computing, University of California, Los Angeles, 2Department of Physiology, University of California, Los Angeles, 3Department of Medicine/Cardiology, University of California, Los Angeles, 4Department of Cardiology, First Affiliated Hospital, Zhejiang University School of Medicine, 5Department of Radiological Sciences, University of California, Los Angeles, 6Department of Bioengineering, University of California, Los Angeles, 7Scalable Analytics Institute (ScAi), University of California, Los Angeles, 8Department of Bioinformatics, University of California, Los Angeles, 9Department of Computer Science, University of California, Los Angeles
我们提出了一种从临床病例报告中提取描述生物医学概念文本的方案及相应的元数据模板。通过该方案生成的结构化文本数据可用于对数千份临床叙述进行深度分析。
Chapters in this video
0:04
Title
0:48
Medical Content
6:39
Results: Representative CCR (Clinical Case Report) Annotations
7:07
Conclusion
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