Applying Fuzzy ART in medical diagnosis of cancers

Jen Ing G. Hwang, Chih En Liu, Lori Sokoll, Bao Ling Adam

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

Abstract

Many researchers have used proteomic mass spectrometry for cancer detection and with various types of data preprocessing and classification methods to overcome data complexities. This research focuses on discovering different cancers display their unique proteomic patterns or have similar patterns with others. To meet this goal, this study introduces a complete data preprocessing procedure and applies a Fuzzy ART clustering method to differentiate the patterns among multiple cancer diseases. This approach shows the potential of separating cancer patterns from healthy patterns, as well as among different types of cancers.

Original languageEnglish (US)
Title of host publication2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Pages1084-1089
Number of pages6
DOIs
StatePublished - Nov 15 2010
Event2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 - Qingdao, China
Duration: Jul 11 2010Jul 14 2010

Publication series

Name2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
Volume3

Other

Other2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010
CountryChina
CityQingdao
Period7/11/107/14/10

Keywords

  • Cancer detection
  • Fuzzy ART
  • Pattern recognition
  • Proteomics
  • Recursive-SVM

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics
  • Human-Computer Interaction

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  • Cite this

    Hwang, J. I. G., Liu, C. E., Sokoll, L., & Adam, B. L. (2010). Applying Fuzzy ART in medical diagnosis of cancers. In 2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010 (pp. 1084-1089). [5580939] (2010 International Conference on Machine Learning and Cybernetics, ICMLC 2010; Vol. 3). https://doi.org/10.1109/ICMLC.2010.5580939