Bayesian modeling for linking causally related observations in chest X-ray reports
Bayesian modeling for linking causally related observations in chest X-ray reports
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发表时间：
1998
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通讯作者：
W. Chapman;P. Haug
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作者：
W. Chapman;P. Haug
我们的自然语言理解系统输出了胸部X光报告中发现的疾病、发现和器械列表。本文描述的系统将那些疾病和因果关系相关的发现联系起来。使用贝叶斯网络对胸部X光中发现的概念和诊断信息进行建模，我们能够推断出与疾病相关的发现的更具体的信息。
Our natural language understanding system outputs a list of diseases, findings, and appliances found in a chest x-ray report. The system described in this paper links those diseases and findings that are causally related. Using Bayesian networks to model the conceptual and diagnostic information found in a chest x-ray we are able to infer more specific information about the findings that are linked to diseases.