A novel approach for cancer outcome prediction using personalized classifier

Md Jamiul Jahid; Jianhua Ruan

doi:10.1145/2401603.2401619

A novel approach for cancer outcome prediction using personalized classifier

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012
Pages	72-73
Number of pages	2
DOIs	https://doi.org/10.1145/2401603.2401619
State	Published - Dec 1 2012
Externally published	Yes
Event	2012 ACM Research in Applied Computation Symposium, RACS 2012 - San Antonio, TX, United States Duration: Oct 23 2012 → Oct 26 2012

Publication series

Name	Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012

Conference

Conference	2012 ACM Research in Applied Computation Symposium, RACS 2012
Country	United States
City	San Antonio, TX
Period	10/23/12 → 10/26/12

Keywords

Outcome prediction
Personalized classification
Subtype

ASJC Scopus subject areas

Computational Theory and Mathematics

Access to Document

10.1145/2401603.2401619

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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

A novel approach for cancer outcome prediction using personalized classifier. / Jahid, Md Jamiul; Ruan, Jianhua.

Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012. 2012. p. 72-73 (Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Jahid, MJ & 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. Proceeding of the 2012 ACM Research in Applied Computation Symposium, RACS 2012, pp. 72-73, 2012 ACM Research in Applied Computation Symposium, RACS 2012, San Antonio, TX, United States, 10/23/12. https://doi.org/10.1145/2401603.2401619

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