Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
Clinical Decision Support Systems: Theory and Practice
Clinical Decision Support Systems: Theory and Practice
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
Machine Learning
Handbook of Statistical Analysis and Data Mining Applications
Handbook of Statistical Analysis and Data Mining Applications
Using computational intelligence to develop intelligent clinical decision support systems
CIBB'09 Proceedings of the 6th international conference on Computational intelligence methods for bioinformatics and biostatistics
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The aim of this study was to find the set of biomarkers based on plasma microRNAs which can predict in a noninvasive way the diagnosis of bladder cancer. We presented here a methodology and the related concepts to develop intelligent molecular biomarkers using knowledge discovery in data and artificial intelligence methods. To the best of our knowledge, this is the first time when plasma miRNAs are combined using artificial intelligence and the prediction accuracy of the developed systems for medical decision support is the best published by now, some of them having even 100%.