The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Feature extraction from Doppler ultrasound signals for automated diagnostic systems
Computers in Biology and Medicine
Recurrent neural networks employing Lyapunov exponents for EEG signals classification
Expert Systems with Applications: An International Journal
A novel large-memory neural network as an aid in medical diagnosis applications
IEEE Transactions on Information Technology in Biomedicine
Input feature selection for classification problems
IEEE Transactions on Neural Networks
Training feedforward networks with the Marquardt algorithm
IEEE Transactions on Neural Networks
Combined neural networks for diagnosis of erythemato-squamous diseases
Expert Systems with Applications: An International Journal
Using Support Vector Machines for feature-oriented profile-based recommendations
International Journal of Advanced Intelligence Paradigms
Advances in automated diagnostic systems
NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
Classification of EEG Signals Using Sampling Techniques and Least Square Support Vector Machines
RSKT '09 Proceedings of the 4th International Conference on Rough Sets and Knowledge Technology
Automatic Detection of Erythemato-Squamous Diseases Using k-Means Clustering
Journal of Medical Systems
Expert Systems with Applications: An International Journal
Journal of Medical Systems
Expert Systems with Applications: An International Journal
Computers and Operations Research
Novel hybrid feature selection algorithms for diagnosing erythemato-squamous diseases
HIS'12 Proceedings of the First international conference on Health Information Science
A subspace approach to error correcting output codes
Pattern Recognition Letters
Automatic detection of erythemato-squamous diseases using PSO-SVM based on association rules
Engineering Applications of Artificial Intelligence
Dynamic facial expression analysis based on extended spatio-temporal histogram of oriented gradients
International Journal of Biometrics
Hi-index | 12.06 |
A new approach based on the implementation of multiclass support vector machine (SVM) with the error correcting output codes (ECOC) is presented for diagnosis of erythemato-squamous diseases. The recurrent neural network (RNN) and multilayer perceptron neural network (MLPNN) were also tested and benchmarked for their performance on the diagnosis of the erythemato-squamous diseases. The domain contained records of patients with known diagnosis. Given a training set of such records, the classifiers learned how to differentiate a new case in the domain. The classifiers were used to detect the six erythemato-squamous diseases when 34 features defining six disease indications were used as inputs. The purpose is to determine an optimum classification scheme for this problem. The present research demonstrated that the features well represent the erythemato-squamous diseases and the multiclass SVM and RNN trained on these features achieved high classification accuracies.