The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
Hazlina Hamdan, and NurAishah Mohd Taib, and Sameem Abdul Kareem, and Yip Cheng Har, (2004) The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures. In: Proceedings of the Joint Conference on Informatics and Research on Women in ICT (RWICT) 2004 , 28 - 30 July 2004, Putra World Trade Center, Kuala Lumpur, Malaysia .
Full text not available from this repository.
University of Malaya
Artificial neural networks are useful tools for solving many real-world problems and are usually utilized for complex data analysis. In the field of medicine, artificial neural networks have been used since the late 1980s, initially as an aid to diagnosis and treatment, and lately as a tool for the analysis of survival data. The main advantage of a neural network is its ability to generalise to new situations based on existing patterns. This advantage is used as a basis to compute and predict the survival of individual cases. This paper describes the research on the application of artificial neural networks in the prognosis of breast-cancer based on the cases seen in the University of Malaya Medical Centre from the year 1993 to 2002
|Item Type:||Conference or Workshop Item (Paper)|
|Keywords:||Artificial neural network, back propagation, recurrent network, breast cancer, survival analysis, prognosis.
Repository Staff Only: item control page