Methodologies from machine learning in data analysis and software
The Computer Journal - Special issue on distributed systems
Advances in knowledge discovery and data mining
Advances in knowledge discovery and data mining
Knowledge Discovery in Databases
Knowledge Discovery in Databases
Self-learning fuzzy controllers based on temporal backpropagation
IEEE Transactions on Neural Networks
An adaptive neuro-fuzzy inference system for bridge risk assessment
Expert Systems with Applications: An International Journal
Medical data mining by fuzzy modeling with selected features
Artificial Intelligence in Medicine
Expert Systems with Applications: An International Journal
A comparative study on diabetes disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
WSEAS Transactions on Information Science and Applications
MATH'08 Proceedings of the 13th WSEAS international conference on Applied mathematics
Characteristics forecasting of hydraulic valve based on grey correlation and ANFIS
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
An automatic diagnosis system based on thyroid gland: ADSTG
Expert Systems with Applications: An International Journal
A hybrid reasoning mechanism integrated evidence theory and set pair analysis in Swine-Vet
Expert Systems with Applications: An International Journal
An automatic diabetes diagnosis system based on LDA-Wavelet Support Vector Machine Classifier
Expert Systems with Applications: An International Journal
Short communication: A new intelligent hepatitis diagnosis system: PCA-LSSVM
Expert Systems with Applications: An International Journal
A novel signal diagnosis technique using pseudo complex-valued autoregressive technique
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Computers in Biology and Medicine
A prediction model to diabetes using artificial metaplasticity
IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
Diagnosing diabetes using neural networks on small mobile devices
Expert Systems with Applications: An International Journal
ICCSA'10 Proceedings of the 2010 international conference on Computational Science and Its Applications - Volume Part IV
Dosage planning for type 2 diabetes mellitus patients using Indexing HDMR
Expert Systems with Applications: An International Journal
An approach based on ANFIS input selection and modeling for supplier selection problem
Expert Systems with Applications: An International Journal
Diagnosis of Arthritis Through Fuzzy Inference System
Journal of Medical Systems
Soft measurement modeling based on hierarchically neural network (HNN) for wastewater treatment
ISNN'12 Proceedings of the 9th international conference on Advances in Neural Networks - Volume Part II
A Computer Aided Diagnosis System for Thyroid Disease Using Extreme Learning Machine
Journal of Medical Systems
Is standard multivariate analysis sufficient in clinical and epidemiological studies?
Journal of Biomedical Informatics
Automated Diagnosis Through Ontologies and Logical Descriptions: The ADONIS Approach
International Journal of Decision Support System Technology
Design of fuzzy classifier for diabetes disease using Modified Artificial Bee Colony algorithm
Computer Methods and Programs in Biomedicine
Review Article: Applications of neuro fuzzy systems: A brief review and future outline
Applied Soft Computing
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Diabetes occurs when a body is unable to produce or respond properly to insulin which is needed to regulate glucose (sugar). Besides contributing to heart disease, diabetes also increases the risks of developing kidney disease, blindness, nerve damage, and blood vessel damage. In this paper, we have detected on diabetes disease, which is a very common and important disease using principal component analysis (PCA) and adaptive neuro-fuzzy inference system (ANFIS). The aim of this study is to improve the diagnostic accuracy of diabetes disease combining PCA and ANFIS. The proposed system has two stages. In the first stage, dimension of diabetes disease dataset that has 8 features is reduced to 4 features using principal component analysis. In the second stage, diagnosis of diabetes disease is conducted via adaptive neuro-fuzzy inference system classifier. We took the diabetes disease dataset used in our study from the UCI (from Department of Information and Computer Science, University of California) Machine Learning Database. The obtained classification accuracy of our system was 89.47% and it was very promising with regard to the other classification applications in literature for this problem.