En Metadata utvinning tilnærming for kliniske Case rapporter aktivere avanserte forståelse av biomedisinsk begreper
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
Vi presenterer en protokoll og tilhørende mal for utvinning av tekst som beskriver biomedisinsk konsepter i kliniske tilfeller rapporter. Strukturert tekstverdiene gjennom denne protokollen kan støtte dyp analyse av klinisk fortellinger.
ABOUT JoVE
Copyright © 2024 MyJoVE Corporation. All rights reserved