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Intelligent Clinical Decision Support Systems for Non-invasive Bladder Cancer Diagnosis

机译:智能临床决策支持系统,用于非侵入性膀胱癌诊断

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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%.
机译:本研究的目的是寻找基于血浆微稻草的一组生物标志物,其可以以非侵入性方式预测膀胱癌的诊断。我们在这里介绍了一种方法和相关概念,用于使用数据和人工智能方法中的知识发现开发智能分子生物标志物。据我们所知,这是第一次使用人工智能相结合的等离子体miRNA以及医学决策支持的发达系统的预测准确性是现在的最佳出版,其中一些甚至有100%。

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