Representing Information in Patient Reports Using Natural Language Processing and the Extensible Markup Language

AUTOR(ES)
FONTE

American Medical Informatics Association

RESUMO

Objective: To design a document model that provides reliable and efficient access to clinical information in patient reports for a broad range of clinical applications, and to implement an automated method using natural language processing that maps textual reports to a form consistent with the model.

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