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Prognostic systems for npc: a comparison of the neural network model and the cox proportional hazards model.
| Content Provider | CiteSeerX |
|---|---|
| Author | Abdul-Kareem, Sameem Baba, Sapiyan Zubairi, Yong Zulina Prasad, U. Ibrahim, Mohd Wahid, A. |
| 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. Keywords: artificial neural network, back propagation, nasopharyngeal carcinoma, survival analysis, prognosis, Cox proportional hazards 1 |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Nasopharyngeal Carcinoma Neural Network Model Prognostic System Cox Proportional Hazard Model Neural Network Cox Proportional Hazard Survival Analysis Cox Model Kaplan-meier Method Statistical Method Prognostic Model Regression Model Artificial Neural Network Cancer Type Survival Data Medical Prognosis Coronary Heart Disease |
| Content Type | Text |
| Resource Type | Article |
