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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