C4.5: programs for machine learning
C4.5: programs for machine learning
The nature of statistical learning theory
The nature of statistical learning theory
Machine Learning - Special issue on learning with probabilistic representations
On the use of cross-validation to assess performance in multivariate prediction
Statistics and Computing
Neural Computation
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Top 10 algorithms in data mining
Knowledge and Information Systems
Ovarian cancer diagnosis with complementary learning fuzzy neural network
Artificial Intelligence in Medicine
Texture analysis in perfusion images of prostate cancer-A case study
International Journal of Applied Mathematics and Computer Science - Computational Intelligence in Modern Control Systems
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In this work, eleven classifiers were tested in the prediction of intra- and post-operative complications in women with cervical cancer. For the real data set the normalization of the input variables was applied, the feature selection was performed and the original data set was binarized. The simulation showed the best model satisfying the quality criteria such as: the average value and the standard deviation of the error, the area under ROC curve, sensitivity and specificity. The results can be useful in clinical practice.