Computational support system for personalized medicine

Ganesh Kumar Pugalendhi, Ku Jin Kim

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The abundance of genes with the scarcity of samples tending towards a convinced group of disease stresses physician during the personalized medicine treatment. This paper suggests an amalgamation of different intelligent techniques to comprehend the patient's genetic information during multicategory diagnosis. An improved fuzzy rough set based on lower approximation is proposed to compute f-information extrinsically to filter gene subset. Water swirl algorithm inspired by the water movement in the sink is recommended to identify potential genes intrinsically using fuzzy rule based decision support system.

Original languageEnglish
Title of host publicationBCB 2015 - 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics
PublisherAssociation for Computing Machinery, Inc
Pages488-489
Number of pages2
ISBN (Electronic)9781450338530
DOIs
StatePublished - 9 Sep 2015
Event6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2015 - Atlanta, United States
Duration: 9 Sep 201512 Sep 2015

Publication series

NameBCB 2015 - 6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics

Conference

Conference6th ACM Conference on Bioinformatics, Computational Biology, and Health Informatics, BCB 2015
Country/TerritoryUnited States
CityAtlanta
Period9/09/1512/09/15

Keywords

  • Fuzzy logic
  • Personalized medicine
  • Water swirl algorithm

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