Extraction of Adverse Drug Effects from Clinical Records

被引：86

作者：

Aramaki, Eiji ^{[1
]}

Miura, Yasuhide ^{[2
]}

Tonoike, Masatsugu ^{[2
]}

Ohkuma, Tomoko ^{[2
]}

Masuichi, Hiroshi ^{[2
]}

Waki, Kayo ^{[3
]}

Ohe, Kazuhiko ^{[3
]}

机构：

[1] Univ Tokyo, Ctr Knowledge Struct, Tokyo 1138655, Japan

[2] Fuji Xerox, Tokyo, Japan

[3] Tokyo Univ Hosp, Tokyo, Japan

来源：

MEDINFO 2010, PTS I AND II | 2010年 / 160卷

关键词：

Adverse effect; Side effect; Drug trial; Natural language processing (NLP);

D O I：

10.3233/978-1-60750-588-4-739

中图分类号：

R19 [保健组织与事业（卫生事业管理）];

学科分类号：

摘要：

With the rapidly growing use of electronic health records, the possibility of large-scale clinical information extraction has drawn much attention. We aim to extract adverse drug events and effects from records. As the first step of this challenge, this study assessed (1) how much adverse-effect information is contained in records, and (2) automatic extracting accuracy of the current standard Natural Language Processing (NLP) system. Results revealed that 7.7% of records include adverse event information, and that 59% of them (4.5% in total) can be extracted automatically. This result is particularly encouraging, considering the massive amounts of records, which are increasing daily.

引用

页码：739 / 743

页数：5

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