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Uma abordagem de extração de metadados para relatos de casos clínicos habilitar avançada compreensão dos conceitos biomédicos
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Uma abordagem de extração de metadados para relatos de casos clínicos habilitar avançada compreensão dos conceitos biomédicos

Article DOI: 10.3791/58392-v • 07:50 min • September 20th, 2018
September 20th, 2018 •
1,2, 1,2,3, 1,2, 4, 1,3, 1,5,6,7, 1,7,8,9, 1,2,3,7,8
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

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Apresentamos um protocolo e um modelo de metadados associados para a extração de texto descrevendo conceitos biomédicos em relatos de casos clínicos. Os valores de texto estruturado produzidos através do presente protocolo podem oferecer suporte a profunda análise de milhares de narrativas clínicas.

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Medicina edição 139 ciência de dados Informática médica mineração de texto anotação curadoria relatos de casos clínicos
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