A novel approach for cancer outcome prediction using personalized classifier

Md Jamiul Jahid, Jianhua Ruan

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

Abstract

Cancer patients can be classifier into different subtypes but an obvious question can ask, whether these predefined subtypes can be helpful to detect the risk of disease in advance which is a well known problem in cancer biology. In this article we address these issues of using subtypes for disease outcome prediction and propose a personalized classification approach by relaxing the predefined subtype idea. Finally, we find that our proposed method is helpful to develop prediction model which can be useful in clinical practice to predict disease outcome. Thus the idea proposed here has better accuracy and application than conventional approaches for cancer outcome prediction.

Original languageEnglish (US)
Title of host publicationProceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012
Pages72-73
Number of pages2
DOIs
StatePublished - Dec 1 2012
Externally publishedYes
Event2012 ACM Research in Applied Computation Symposium, RACS 2012 - San Antonio, TX, United States
Duration: Oct 23 2012Oct 26 2012

Publication series

NameProceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012

Conference

Conference2012 ACM Research in Applied Computation Symposium, RACS 2012
CountryUnited States
CitySan Antonio, TX
Period10/23/1210/26/12

Keywords

  • Outcome prediction
  • Personalized classification
  • Subtype

ASJC Scopus subject areas

  • Computational Theory and Mathematics

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  • Cite this

    Jahid, M. J., & Ruan, J. (2012). A novel approach for cancer outcome prediction using personalized classifier. In Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012 (pp. 72-73). (Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012). https://doi.org/10.1145/2401603.2401619