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The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures

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...

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Main Authors: Hamdan, H., Taib, N.M., Kareem, S.A., Har, Y.C.
Format: Conference or Workshop Item
Published: 2004
Subjects:
R Medicine
Online Access:http://eprints.um.edu.my/1987/
http://myais.fsktm.um.edu.my/1110/
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spelling my.um.eprints.19872014-10-20T02:53:22Z http://eprints.um.edu.my/1987/ The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures Hamdan, H. Taib, N.M. Kareem, S.A. Har, Y.C. R Medicine 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 2004 Conference or Workshop Item PeerReviewed Hamdan, H. and Taib, N.M. and Kareem, S.A. and Har, Y.C. (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. (Unpublished) http://myais.fsktm.um.edu.my/1110/
institution Universiti Malaya
building UM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaya
content_source UM Research Repository
url_provider http://eprints.um.edu.my/
topic R Medicine
spellingShingle R Medicine
Hamdan, H.
Taib, N.M.
Kareem, S.A.
Har, Y.C.
The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
description 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
format Conference or Workshop Item
author Hamdan, H.
Taib, N.M.
Kareem, S.A.
Har, Y.C.
author_facet Hamdan, H.
Taib, N.M.
Kareem, S.A.
Har, Y.C.
author_sort Hamdan, H.
title The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
title_short The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
title_full The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
title_fullStr The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
title_full_unstemmed The Prognosis of Breast Cancer: A Comparison of Different Neural Network Architectures
title_sort prognosis of breast cancer: a comparison of different neural network architectures
publishDate 2004
url http://eprints.um.edu.my/1987/
http://myais.fsktm.um.edu.my/1110/
_version_ 1643686814204035072
score 13.211869

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