Prognostic Systems for NPC: A comparison of the Neural Network Model and The Cox Proportional Hazards Model

Abdul-Kareem, S. and Baba, S. and Zubairi, Y.Z. and Prasad, U. and Wahid, M.I.A. (2002) Prognostic Systems for NPC: A comparison of the Neural Network Model and The Cox Proportional Hazards Model. Advances in Neural Network World.

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Abstract

Statistical methods such as the life-table, the Kaplan-Meier method and regression models, such as the Cox Proportional Hazard are usually used to model and predict survival data. Neural networks have been used in medicine for more than two decades, first, as an aid to diagnosis and treatment and then, recently, as a tool to study medical prognosis of aids, coronary heart disease, and a variety of cancer types. The use of neural networks to study the prognosis of nasopharyngeal carcinoma is, however, relatively new. In this paper we describe our research in the use of neural network to predict the prognosis of nasopharyngeal carcinoma. Two prognostic models for nasopharyngeal carcinoma were developed, namely the neural network model and the Cox model and their performance compared.

Item Type: Article
Uncontrolled Keywords: artificial neural network, back propagation, nasopharyngeal carcinoma, survival analysis, prognosis, Cox proportional hazards
Subjects: T Technology > T Technology (General)
Divisions: Faculty of Computer Science & Information Technology > Dept of Artificial Intelligence
Depositing User: Ms Maisarah Mohd Muksin
Date Deposited: 04 Jan 2013 15:57
Last Modified: 04 Jan 2013 15:57
URI: http://eprints.um.edu.my/id/eprint/5694

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