Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan

The project is about the classification of breast cancer using Artificial Neural Network (ANN). Preliminary and early awareness of diseases is crucial, especially a cancer. Cancer is a disease that happened when an abnormal growth of cells spread in the body. It is also known as malignancy. There ar...

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Main Author:	Redzuan, Nur Aisyah Nabila
Format:	Thesis
Language:	English
Published:	2017
Subjects:	Instruments and machines Computer software Software measurement Neural networks (Computer science) Database management
Online Access:	https://ir.uitm.edu.my/id/eprint/69563/1/69563.pdf
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id	my-uitm-ir.69563
record_format	uketd_dc
spelling	my-uitm-ir.695632022-11-01T06:42:30Z Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan 2017-01 Redzuan, Nur Aisyah Nabila Instruments and machines Electronic Computers. Computer Science Computer software Software measurement Neural networks (Computer science) Artificial immune systems. Immunocomputers Database management The project is about the classification of breast cancer using Artificial Neural Network (ANN). Preliminary and early awareness of diseases is crucial, especially a cancer. Cancer is a disease that happened when an abnormal growth of cells spread in the body. It is also known as malignancy. There are more than 100 types of cancer and one of the most awful and leading causes of death is breast cancer. The National Cancer Institute of the US reviews, 232,340 females and 2,240 male cases of breast cancer reported every year and 39,620 death cases. As a precaution, people go through a screening test. Nevertheless, in view of time and cost, the test does not provide an accurate prediction. An additional imaging test with high costs needed to get the most reliable results. Hence, the project aims to develop a classification system for breast cancer, which is cheaper and portable by using machine learning technique called ANN. ANN is successfully used in many areas. In previous, ANN has proven the ability of predicting and classifying with up to 95% accuracy. The method used for the project are the backpropagation ANN. The system will classify the patient whether they have a benign tumor or malignant tumor. As the result, the project shows reasonable accuracy of the ANN approach for breast cancer classification problem. 2017-01 Thesis https://ir.uitm.edu.my/id/eprint/69563/ https://ir.uitm.edu.my/id/eprint/69563/1/69563.pdf text en public degree Universiti Teknologi MARA, Terengganu Faculty of Computer and Mathematical Sciences Puteh, Mazidah
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Puteh, Mazidah
topic	Instruments and machines Instruments and machines Computer software Software measurement Neural networks (Computer science) Instruments and machines Database management
spellingShingle	Instruments and machines Instruments and machines Computer software Software measurement Neural networks (Computer science) Instruments and machines Database management Redzuan, Nur Aisyah Nabila Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan
description	The project is about the classification of breast cancer using Artificial Neural Network (ANN). Preliminary and early awareness of diseases is crucial, especially a cancer. Cancer is a disease that happened when an abnormal growth of cells spread in the body. It is also known as malignancy. There are more than 100 types of cancer and one of the most awful and leading causes of death is breast cancer. The National Cancer Institute of the US reviews, 232,340 females and 2,240 male cases of breast cancer reported every year and 39,620 death cases. As a precaution, people go through a screening test. Nevertheless, in view of time and cost, the test does not provide an accurate prediction. An additional imaging test with high costs needed to get the most reliable results. Hence, the project aims to develop a classification system for breast cancer, which is cheaper and portable by using machine learning technique called ANN. ANN is successfully used in many areas. In previous, ANN has proven the ability of predicting and classifying with up to 95% accuracy. The method used for the project are the backpropagation ANN. The system will classify the patient whether they have a benign tumor or malignant tumor. As the result, the project shows reasonable accuracy of the ANN approach for breast cancer classification problem.
format	Thesis
qualification_level	Bachelor degree
author	Redzuan, Nur Aisyah Nabila
author_facet	Redzuan, Nur Aisyah Nabila
author_sort	Redzuan, Nur Aisyah Nabila
title	Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan
title_short	Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan
title_full	Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan
title_fullStr	Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan
title_full_unstemmed	Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan
title_sort	classification of breast cancer using artificial neural network / nur aisyah nabila redzuan
granting_institution	Universiti Teknologi MARA, Terengganu
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/69563/1/69563.pdf
_version_	1783735893286191104

Classification of breast cancer using artificial neural network / Nur Aisyah Nabila Redzuan

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