Modeling uncertainty in clinical diagnosis using fuzzy logic

被引:83
作者
John, RI [1 ]
Innocent, PR [1 ]
机构
[1] De Montfort Univ, Sch Comp, Ctr Computat Intelligence, Leicester LE1 9BH, Leics, England
来源
IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS | 2005年 / 35卷 / 06期
关键词
diagnosis; fuzzy cognitive map (FCM); fuzzy sets; fuzzy temporal reasoning;
D O I
10.1109/TSMCB.2005.855588
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper describes a fuzzy approach to computer-aided medical diagnosis in a clinical context. It introduces a formal view of diagnosis in clinical settings and shows the relevance and possible uses of fuzzy cognitive maps. A constraint satisfaction method is introduced that uses the temporal uncertainty in symptom durations that may occur with particular diseases. The method results in an estimate of the stage of the disease if the temporal constraints of the disease in relation to the occurrence of the symptoms are satisfied. A lightweight fuzzy process is described and evaluated in the context of diagnosis of two confusable diseases. The process is based on the idea of an incremental simple additive model for fuzzy sets supporting and negating particular diseases. These are combined to produce an index of support for a particular disease. The process is developed to allow fuzzy symptom information on the intensity and duration of symptoms. Results are presented showing the effectiveness of the method for supporting differential diagnosis.
引用
收藏
页码:1340 / 1350
页数:11
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