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

M. Jaliani, Mohd Nazmi (2009) Breast cancer classification using artificial neural network / Mohd Nazmi M.Jaliani. Degree thesis, Universiti Teknologi MARA (UiTM).

Abstract

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.

Metadata

Item Type: Thesis (Degree)
Creators:
Creators
Email / ID Num.
M. Jaliani, Mohd Nazmi
2006825185
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Musirin, Ismail
UNSPECIFIED
Thesis advisor
Omar, Saodah
UNSPECIFIED
Subjects: Q Science > QA Mathematics
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Electrical Engineering
Programme: Bachelor of Electrical Engineering (Hons)
Keywords: Breast cancer, neural networks, benign group
Date: 2009
URI: https://ir.uitm.edu.my/id/eprint/79057
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