Comparison of artificial neural network with regression models for prediction of survival after surgery in cancer patients

Suresh, M L and Venkatesan, P (2010) Comparison of artificial neural network with regression models for prediction of survival after surgery in cancer patients. International Journal of Information Science and Computer Mathematics, 1 (2). pp. 137-146. ISSN 1829-4969

Archive 201032.pdf - Published Version Download (168kB)

Abstract

Cancer survival prediction in patients who had undergone surgical intervention is an important step in the decision process. The present study investigates the effects of prognostic variables on the breast cancer survival after surgery, over a period of 5-years using feed forward neural network. The neural network was trained and tested using 413 breast cancer patients for the survival prediction with 16 prognostic variables as inputs. The artificial neural network (ANN) proves to be better than regression based models in survival prediction.

Affiliation:	ICMR-National Institute for Research in Tuberculosis
Item Type:	Article
Uncontrolled Keywords:	ANN, FFNN, CART, logistic regression, breast cancer, survival. Communicated by Kewen Zhao
Subjects:	Tuberculosis > Biostatistics
Divisions:	Statistics
Depositing User:	Dr. Rathinasabapati R
Date Deposited:	03 Jun 2022 10:50
Last Modified:	03 Jun 2022 10:50
URI:	http://eprints.nirt.res.in/id/eprint/1074

Actions (login required)

View Item