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Parameters for a knowledge base for acute appendicitis.

作者信息

Pesonen E, Ikonen J, Juhola M, Eskelinen M

机构信息

Department of Computer Science, University of Kuopio, Finland.

出版信息

Methods Inf Med. 1994 May;33(2):220-6.

PMID:8057950
Abstract

Acute appendicitis is the most common cause of acute abdomen requiring surgical intervention. The clinical diagnosis of acute appendicitis is not always easy due to variable symptomatology, particularly at the onset. The contributions of history-taking and physical examination in the diagnosis of acute appendicitis was studied in connection with the Research Committee of the World Organization of Gastroenterology (OMGE) survey of acute abdominal pain. Especially the suitability of diagnostic parameters in the construction of an expert system for automatic decision making was studied. The results clearly show that it is possible to construct an expert system for automatic decision making in the diagnosis of acute appendicitis.

摘要

相似文献

1
Parameters for a knowledge base for acute appendicitis.
Methods Inf Med. 1994 May;33(2):220-6.
2
The value of history-taking, physical examination, and computer assistance in the diagnosis of acute appendicitis in patients more than 50 years old.病史采集、体格检查及计算机辅助在50岁以上患者急性阑尾炎诊断中的价值。
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Rev Gastroenterol Mex. 1988 Jan-Mar;53(1):15-21.
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Comparison of three databases with a decision tree approach in the medical field of acute appendicitis.在急性阑尾炎医学领域中采用决策树方法对三个数据库进行比较。
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引用本文的文献

1
A hybrid decision support model to discover informative knowledge in diagnosing acute appendicitis.一种用于在急性阑尾炎诊断中发现有价值知识的混合决策支持模型。
BMC Med Inform Decis Mak. 2012 Mar 13;12:17. doi: 10.1186/1472-6947-12-17.