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Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani

Breast cancer has become a major cause of death among women in developed countries. The most effective way to reduce breast cancer deaths is detect it earlier. However, earlier treatment requires the ability to detect breast cancer in early stages. Recently, several researchers have used statistical...

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Main Author: M. Jaliani, Mohd Nazmi
Format: Thesis
Language:English
Published: 2009
Subjects:
QA Mathematics
Online Access:https://ir.uitm.edu.my/id/eprint/79057/1/79057.pdf
https://ir.uitm.edu.my/id/eprint/79057/
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id my.uitm.ir.79057
record_format eprints
spelling my.uitm.ir.790572024-08-20T16:00:46Z https://ir.uitm.edu.my/id/eprint/79057/ Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani M. Jaliani, Mohd Nazmi QA Mathematics Breast cancer has become a major cause of death among women in developed countries. The most effective way to reduce breast cancer deaths is detect it earlier. However, earlier treatment requires the ability to detect breast cancer in early stages. Recently, several researchers have used statistical and artificial intelligence techniques to successfully predict breast cancer. Basically the objective of there prediction techniques is to assign patients to either a "benign''' group that does not have breast cancer or a "malignant" group that has strong evidence of having breast cancer. 2009 Thesis NonPeerReviewed text en https://ir.uitm.edu.my/id/eprint/79057/1/79057.pdf Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani. (2009) Degree thesis, thesis, Universiti Teknologi MARA (UiTM).
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic QA Mathematics
spellingShingle QA Mathematics
M. Jaliani, Mohd Nazmi
Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani
description Breast cancer has become a major cause of death among women in developed countries. The most effective way to reduce breast cancer deaths is detect it earlier. However, earlier treatment requires the ability to detect breast cancer in early stages. Recently, several researchers have used statistical and artificial intelligence techniques to successfully predict breast cancer. Basically the objective of there prediction techniques is to assign patients to either a "benign''' group that does not have breast cancer or a "malignant" group that has strong evidence of having breast cancer.
format Thesis
author M. Jaliani, Mohd Nazmi
author_facet M. Jaliani, Mohd Nazmi
author_sort M. Jaliani, Mohd Nazmi
title Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani
title_short Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani
title_full Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani
title_fullStr Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani
title_full_unstemmed Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani
title_sort breast cancer classification using artificial neural network / mohd nazmi m.jaliani
publishDate 2009
url https://ir.uitm.edu.my/id/eprint/79057/1/79057.pdf
https://ir.uitm.edu.my/id/eprint/79057/
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score 13.19449

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