Comparing expert systems for identifying chest x-ray reports that support pneumonia

被引:0
|
作者
Chapman, WW [1 ]
Haug, PJ [1 ]
机构
[1] Univ Utah, Dept Med Informat, Salt Lake City, UT 84132 USA
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暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We compare the performance of four computerized methods in identifying chest x-ray reports that support acute bacterial pneumonia. Two of the computerized techniques are constructed from expert knowledge, and two learn rules, and structure from data. The two machine learning systems perform as well as the expert constructed systems. All of the computerized techniques perform better than a baseline keyword search and a layperson, and perform as well as a physician. We conclude that machine learning can be used to identify chest x-ray reports that support pneumonia.
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收藏
页码:216 / 220
页数:5
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