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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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September 20, 2018
DOI:
1The NIH BD2K Center of Excellence in Biomedical Computing,University of California, Los Angeles, 2Fizyoloji Bölümü,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, 6Biyomühendislik Bölümü,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
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We present a protocol and associated metadata template for the extraction of text describing biomedical concepts in clinical case reports. The structured text values produced through this protocol can support deep analysis of thousands of clinical narratives.
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Caufield, J. H., Liem, D. A., Garlid, A. O., Zhou, Y., Watson, K., Bui, A. A. T., Wang, W., Ping, P. A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts. J. Vis. Exp. (139), e58392, doi:10.3791/58392 (2018).
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