C4.5: programs for machine learning
C4.5: programs for machine learning
Machine Learning
Making large-scale support vector machine learning practical
Advances in kernel methods
Handbook of AI
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Feature Selection for Unbalanced Class Distribution and Naive Bayes
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Experiments on the Use of Feature Selection and Negative Evidence in Automated Text Categorization
ECDL '00 Proceedings of the 4th European Conference on Research and Advanced Technology for Digital Libraries
The Journal of Machine Learning Research
Journal of the American Society for Information Science and Technology
Scoring and Selecting Terms for Text Categorization
IEEE Intelligent Systems
A support vector method for multivariate performance measures
ICML '05 Proceedings of the 22nd international conference on Machine learning
Training linear SVMs in linear time
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Feature selection and classification model construction on type 2 diabetic patients' data
Artificial Intelligence in Medicine
Support vector machines combined with feature selection for breast cancer diagnosis
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Early prostate cancer diagnosis by using artificial neural networks and support vector machines
Expert Systems with Applications: An International Journal
A comparative study on diabetes disease diagnosis using neural networks
Expert Systems with Applications: An International Journal
Effective diagnosis of heart disease through neural networks ensembles
Expert Systems with Applications: An International Journal
IWANN '03 Proceedings of the 7th International Work-Conference on Artificial and Natural Neural Networks: Part II: Artificial Neural Nets Problem Solving Methods
Degree prediction of malignancy in brain glioma using support vector machines
Computers in Biology and Medicine
Medical diagnosis with C4.5 rule preceded by artificial neural network ensemble
IEEE Transactions on Information Technology in Biomedicine
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
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This work develops a decision support system based on machine learning and scoring measures to determine the type of urinary incontinence in women with low urinary tract symptoms. This system has two main branches. The former consists of selecting the feature set which best defines the UI type from the set of features (age, weight, etc.) characterizing a patient. This feature set is computed from several scoring measures. The patients characterized by the optimum feature set are then classified according to C4.5 and SVM classifiers. The results are evaluated according to Sensitivity and Specificity evaluation measures. The management of the final system is simple and its performance is high, getting Sensitivities over 80% and Specificities near 100% for some configurations.