Discovering Novel Adverse Drug Events Using Natural Language Processing and Mining of the Electronic Health Record

被引：0
|
作者：
Friedman, Carol [1 ]
机构：
[1] Columbia Univ, Dept Biomed Informat, New York, NY 10027 USA
来源：
ARTIFICIAL INTELLIGENCE IN MEDICINE, PROCEEDINGS | 2009年 / 5651卷
关键词：
Pharmacovigilance; natural language processing; electronic health records; patient safety; adverse drug events; HOSPITALIZED-PATIENTS; CLINICAL DOCUMENTS; PHARMACOVIGILANCE; COSTS;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
This talk presents an overview of our research in use of medical knowledge, natural language processing, the electronic health record, and statistical methods to automatically discover novel adverse drug events, which are serious problems world-wide.
引用
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页码：1 / 5
页数：5
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