文章基本信息

标题：Text Mining and Big Data Analytics for Retrospective Analysis of Clinical Texts from Outpatient Care
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作者：Svetla Boytcheva ; Galia Angelova ; Zhivko Angelov 等
期刊名称：Cybernetics and Information Technologies
印刷版ISSN：1311-9702
电子版ISSN：1314-4081
出版年度：2015
卷号：15
期号：4
DOI：10.1515/cait-2015-0055
出版社：Bulgarian Academy of Science
摘要：This paper presents the results of an on-going research project for knowledge extraction from large corpora of clinical narratives in Bulgarian language, approximately 100 million of outpatient care notes. Entities with numerical values are mined in the free text and the extracted information is stored in a structured format. The Algorithms for retrospective analyses and big data analytics are applied for studying the treatment and evaluating the diabetes compensation and control of arterial blood pressure.
关键词：Medical Informatics; Big Data; Text Mining; Information Extraction; ; Natural Language Processing