一种用于临床病例报告的元数据抽取方法, 以实现对生物医学概念的深入了解
September 20th, 2018
•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
我们提出了一个协议和相关的元数据模板, 以提取的文本描述生物医学概念的临床病例报告。通过本协议生成的结构化文本值可以支持对数以千计的临床叙事进行深入分析。
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