Intelligent clinical decision support systems for non-invasive bladder cancer diagnosis

Alexandru G. Floares, Carmen Floares, Oana Vermesan, Tiberiu Popa, Michael Williams, Sulaimon Ajibode, Liu Chang-Gong, Diao Lixia, Wang Jing, Traila Nicola, David Jackson, Colin Dinney, Liana Adam

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

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%.

Original languageEnglish (US)
Title of host publicationComputational Intelligence Methods for Bioinformatics and Biostatistics - 7th International Meeting, CIBB 2010, Revised Selected Papers
Pages253-262
Number of pages10
DOIs
StatePublished - 2011
Event7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010 - Palermo, Italy
Duration: Sep 16 2010Sep 18 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume6685 LNBI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other7th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2010
Country/TerritoryItaly
CityPalermo
Period9/16/109/18/10

Keywords

  • artificial intelligence
  • bladder cancer diagnosis
  • microRNA
  • noninvasive

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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