Abstract
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%.
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Floares, A.G. et al. (2011). Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis. In: Rizzo, R., Lisboa, P.J.G. (eds) Computational Intelligence Methods for Bioinformatics and Biostatistics. CIBB 2010. Lecture Notes in Computer Science(), vol 6685. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21946-7_20
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DOI: https://doi.org/10.1007/978-3-642-21946-7_20
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