Greece
Research Article
A Novel Software Tool for Detection of Meniscus Injury using Dynamic Fuzzy Cognitive Networks
Author(s): Anninou AP, Poulios P, Groumpos PP and Gliatis IAnninou AP, Poulios P, Groumpos PP and Gliatis I
Objective: The main objective of this study is the construction of a tool to diagnose a specific type of knee injuries, the meniscus injury, without the aid of imaging modalities. This tool exploits physician’s knowledge and experience and extracts all information needed for a diagnostic procedure.
Methods: A specific type of Fuzzy Cognitive Maps, which is named Dynamic Fuzzy Cognitive Networks, is used for the implementation of diagnostic process. This method simulates the physician’s way of thinking and making decisions in order to conclude to a final diagnosis and will constitute the background of a user interface platform, named “KneeD,” designed especially as a supportive tool for the physician. It exploits information about patient history and clinical examination and the arisen symptoms and risk factors constitute.. Read More»
DOI:
10.4172/2573-0312.1000155
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