Un approccio di estrazione di metadati per rapporti clinici di caso attivare avanzato la comprensione dei concetti biomedicale
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 presentiamo un protocollo e un modello di metadati associata per l'estrazione di testo che descrive concetti biomedicale in rapporti clinici di caso. I valori di testo strutturato prodotti tramite questo protocollo possono supportare profonda analisi di migliaia di narrazioni cliniche.
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