کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4961703 1446515 2016 7 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Named Entity Recognition Over Electronic Health Records Through a Combined Dictionary-based Approach
ترجمه فارسی عنوان
شناسایی ذینفع بر روی پرونده های الکترونیکی سلامت از طریق رویکرد مبتنی بر لغت ترکیبی
کلمات کلیدی
شناخته شده نام شخصیت، سوابق سلامت الکترونیک، استخراج متن،
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر علوم کامپیوتر (عمومی)
چکیده انگلیسی

In health care information systems, electronic health records are an important part of the knowledge concerning individual health histories. Extracting valuable knowledge from these records represents a challenging task because they are composed of data of different kind: images, test results, narrative texts that include both highly codified and a variety of notes which are diverse in language and detail, as well as ad hoc terminology, including acronyms and jargon, far from being highly codified. This paper proposes a combined approach for the recognition of named entities in such narrative texts. This approach is a composition of three different methods. The possible combinations are evaluated and the resulting composition shows an improvement of the recall and a limited impact on precision for the named entity recognition process.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Procedia Computer Science - Volume 100, 2016, Pages 55-61
نویسندگان
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