A New Meniscus Injury Diagnostic Model Using Fuzzy Cognitive Maps

被引：0

作者：

Antigoni, Anninou P. ^{[1
]}

Panagiotis, Poulios ^{[2
]}

Peter, Groumpos P. ^{[1
]}

Loannis, Gliatis ^{[2
]}

机构：

[1] Univ Patras, Lab Automat & Robot, Dept Elect & Comp Engn, GR-26110 Patras, Greece

[2] Univ Patras, Dept Med, Orthoped Clin, GR-26110 Patras, Greece

来源：

2016 24TH MEDITERRANEAN CONFERENCE ON CONTROL AND AUTOMATION (MED) | 2016年

关键词：

CLINICAL EXAMINATION; TORN MENISCUS; TEARS; KNEE; LIGAMENT; MRI;

D O I：

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：

The aim of this paper is to create an integrated meniscus injury diagnostic model, which by exploiting information about patient history and clinical examination made by physicians concludes to a final diagnosis using Fuzzy Cognitive Maps. Mechanisms of injury and symptoms combined with test results constitute the first level modelled with FCM. The output of this level decides if the patient has a meniscus tear or not. The second level decides if the injury is acute or degenerative with the help of risk factors using Competitive Fuzzy Cognitive Maps in order to conclude to only one decision. The results obtained by the model are very promising without requiring sending the patient for MRI (Magnetic Resonance Imaging) which is of utmost importance in diagnosing soft tissue injuries.

引用

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页码：7 / 12

页数：6

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