Effect of fuzzy partitioning in Crohn's disease classification: a neuro-fuzzy-based approach.
Crohn's disease (CD) diagnosis is a tremendously serious health problem due to its ultimately effect on the gastrointestinal tract that leads to the need of complex medical assistance. In this study, the backpropagation neural network fuzzy classifier and a neuro-fuzzy model are combined for diagnosing the CD. Factor analysis is used for data dimension reduction. The effect on the system performance has been investigated when using fuzzy partitioning and dimension reduction. Additionally, further comparison is done between the different levels of the fuzzy partition to reach the optimal performance accuracy level. The performance evaluation of the proposed system is estimated using the classification accuracy and other metrics. The experimental results revealed that the classification with level-8 partitioning provides a classification accuracy of 97.67 %, with a sensitivity and specificity of 96.07 and 100 %, respectively.
Department of CSE, JIS College of Engineering, Kalyani, West Bengal, India.
Sk Saddam
SS
Ahmed
Department of Information Technology, Techno India College of Technology, Kolkata, India.
Nilanjan
N
Dey
Department of Electronics and Electrical Communications Engineering, Faculty of Engineering, Tanta University, Tanta, Egypt. amirasashour@yahoo.com.|College of Computers and IT, Taif University, Ta'if, Saudi Arabia. amirasashour@yahoo.com.
Amira S
AS
Ashour
Clinic of Social and Family Medicine, Faculty of Medicine, University of Crete, Crete, Greece.
Dimitra
D
Sifaki-Pistolla
Faculty of Educational Sciences, Psychology and Social Sciences, Aurel Vlaicu University of Arad, Arad, Romania.
Dana
D
Bălas-Timar
Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania.
Valentina E
VE
Balas
Instituto de Ciência e Inovação em Engenharia Mecânica e Engenharia Industrial, Departamento de Engenharia Mecânica, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, s/n, 4200-465, Porto, Portugal.
João Manuel R S
JM
Tavares
D003424:Crohn Disease / Q000145:classification*; D017143:Fuzzy Logic; D006801:Humans; D016571:Neural Networks, Computer; D012372:ROC Curve
Backpropagation neural network; Classification; Factor analysis; Genome sequencing; Neuro-fuzzy