Soft Computing and Its Applications
Soft Computing and Its Applications
Classification with incomplete survey data: a Hopfield neural network approach
Computers and Operations Research
Data Mining: Concepts and Techniques
Data Mining: Concepts and Techniques
IEEE Transactions on Knowledge and Data Engineering
A study of cross-validation and bootstrap for accuracy estimation and model selection
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Predicting breast cancer survivability: a comparison of three data mining methods
Artificial Intelligence in Medicine
A hybrid approach of neural network and memory-based learning to data mining
IEEE Transactions on Neural Networks
Fuzzy expert system design for operating room air-condition control systems
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Extracting rules for classification problems: AIS based approach
Expert Systems with Applications: An International Journal
Hybrid prediction model for Type-2 diabetic patients
Expert Systems with Applications: An International Journal
International Journal of Computational Intelligence Studies
Clustered-Hybrid Multilayer Perceptron network for pattern recognition application
Applied Soft Computing
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
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
A fuzzy classification system based on Ant Colony Optimization for diabetes disease diagnosis
Expert Systems with Applications: An International Journal
Predicting seminal quality with artificial intelligence methods
Expert Systems with Applications: An International Journal
A case study of muscle dysmorphia disorder diagnostics
Expert Systems with Applications: An International Journal
Hybrid intelligent modeling schemes for heart disease classification
Applied Soft Computing
Review: Knowledge discovery in medicine: Current issue and future trend
Expert Systems with Applications: An International Journal
| Hi-index | 12.07 |
Data can be classified according to their properties. Classification is implemented by developing a model with existing records by using sample data. One of the aims of classification is to increase the reliability of the results obtained from the data. Fuzzy and crisp values are used together in medical data. Regarding to this, a new method is presented for classification of data of a medical database in this study. Also a hybrid neural network that includes artificial neural network (ANN) and fuzzy neural network (FNN) was developed. Two real-time problem data were investigated for determining the applicability of the proposed method. The data were obtained from the University of California at Irvine (UCI) machine learning repository. The datasets are Pima Indians diabetes and Cleveland heart disease. In order to evaluate the performance of the proposed method accuracy, sensitivity and specificity performance measures that are used commonly in medical classification studies were used. The classification accuracies of these datasets were obtained by k-fold cross-validation. The proposed method achieved accuracy values 84.24% and 86.8% for Pima Indians diabetes dataset and Cleveland heart disease dataset, respectively. It has been observed that these results are one of the best results compared with results obtained from related previous studies and reported in the UCI web sites.