Identification and Extraction of Family History Information from Clinical Reports
Identification and Extraction of Family History Information from Clinical Reports
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发表时间：
2008-11
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通讯作者：
Sergey Goryachev;Hyeon-Eui Kim;Q. Zeng-Treitler
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作者：
Sergey Goryachev;Hyeon-Eui Kim;Q. Zeng-Treitler
许多临床报告包含家族史，这是临床决策支持和研究的有价值的信息。我们开发了一种简单的自然语言处理算法来识别和提取家族历史。该算法进行了测试，一组出院摘要和门诊诊所笔记。对所有诊断的准确率和召回率分别为85.12%和86.93%。将家族史与病史诊断区分开来的准确率和召回率分别为96.30%和92.86%。精确家庭成员分配的准确率和召回率均为92.31%。
Many clinical reports contain family history, which is valuable information for clinical decision support and research. We developed a simple natural language processing algorithm to identify and extract family histories. The algorithm was tested on a set of discharge summaries and outpatient clinic notes. The precision and recall of extracting all diagnoses were 85.12% and 86.93%, respectively. The precision and recall of differentiating family history from patient history diagnoses were 96.30% and 92.86%, respectively. Both the precision and recall of exact family member assignment were 92.31%.