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Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria

Breast cancer is the most common cancer among females. Breast cancer begins in the breast tissue that is made up of glands for milk production. This cancer typically detected either during a screening examination, before symptoms have developed, or after symptoms have developed, when woman feels a l...

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Main Author: Zakaria, Zulfatin
Format: Monograph
Language:English
Published: Bachelor of Science (Hons.) Statistics 2015
Subjects:
R Medicine (General)
Cancer
RG Gynecology and obstetrics
Diseases of the breast
Online Access:http://ir.uitm.edu.my/id/eprint/34389/1/34389.pdf
http://ir.uitm.edu.my/id/eprint/34389/
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spelling my.uitm.ir.343892020-09-10T07:36:02Z http://ir.uitm.edu.my/id/eprint/34389/ Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria Zakaria, Zulfatin R Medicine (General) Cancer RG Gynecology and obstetrics Diseases of the breast Breast cancer is the most common cancer among females. Breast cancer begins in the breast tissue that is made up of glands for milk production. This cancer typically detected either during a screening examination, before symptoms have developed, or after symptoms have developed, when woman feels a lump. Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from January 2004 to December 2013 was done by using data that are taken from medical record unit of the hospital. The aims of the study are to identify the component in the time series of number of breast cancer cases in Hospital Raja Perempuan Zainab II from January 2004 to December 2013, to determine the best model of the breast cancer cases, and to forecast the number of breast cancer cases for 2014. The methods that used in this study are Univariate Modeling Techniques and The Box-Jenkins Methodology. The results shown for Univariate Modeling Techniques, Single Exponential Smoothing is the best model since its Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) value was the lowest value compared to other method. Meanwhile, result of The Box-Jenkins Methodology shown the best model was ARIMA (1,1,2). This is because its value of MSE and MAPE gave the lowest value compared to other model. In conclusion, the univariate modeling technique which is single exponential smoothing is the best method for forecasting the number of breast cancer cases in Hospital Raja Perempuan Zainab II Kota Bharu. The forecast value for year 2014 shows the increase values of breast cancer cases than slowly decrease in a few months Bachelor of Science (Hons.) Statistics 2015-01 Monograph NonPeerReviewed text en http://ir.uitm.edu.my/id/eprint/34389/1/34389.pdf Zakaria, Zulfatin (2015) Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria. Industrial / Practical Training Report. Bachelor of Science (Hons.) Statistics, Kota Bharu. (Unpublished)
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 R Medicine (General)
Cancer
RG Gynecology and obstetrics
Diseases of the breast
spellingShingle R Medicine (General)
Cancer
RG Gynecology and obstetrics
Diseases of the breast
Zakaria, Zulfatin
Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria
description Breast cancer is the most common cancer among females. Breast cancer begins in the breast tissue that is made up of glands for milk production. This cancer typically detected either during a screening examination, before symptoms have developed, or after symptoms have developed, when woman feels a lump. Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from January 2004 to December 2013 was done by using data that are taken from medical record unit of the hospital. The aims of the study are to identify the component in the time series of number of breast cancer cases in Hospital Raja Perempuan Zainab II from January 2004 to December 2013, to determine the best model of the breast cancer cases, and to forecast the number of breast cancer cases for 2014. The methods that used in this study are Univariate Modeling Techniques and The Box-Jenkins Methodology. The results shown for Univariate Modeling Techniques, Single Exponential Smoothing is the best model since its Mean Squared Error (MSE) and Mean Absolute Percentage Error (MAPE) value was the lowest value compared to other method. Meanwhile, result of The Box-Jenkins Methodology shown the best model was ARIMA (1,1,2). This is because its value of MSE and MAPE gave the lowest value compared to other model. In conclusion, the univariate modeling technique which is single exponential smoothing is the best method for forecasting the number of breast cancer cases in Hospital Raja Perempuan Zainab II Kota Bharu. The forecast value for year 2014 shows the increase values of breast cancer cases than slowly decrease in a few months
format Monograph
author Zakaria, Zulfatin
author_facet Zakaria, Zulfatin
author_sort Zakaria, Zulfatin
title Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria
title_short Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria
title_full Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria
title_fullStr Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria
title_full_unstemmed Forecasting number of breast cancer cases in Hospital Raja Perempuan Zainab II starting from january 2004 to december 2013 / Zulfatin Zakaria
title_sort forecasting number of breast cancer cases in hospital raja perempuan zainab ii starting from january 2004 to december 2013 / zulfatin zakaria
publisher Bachelor of Science (Hons.) Statistics
publishDate 2015
url http://ir.uitm.edu.my/id/eprint/34389/1/34389.pdf
http://ir.uitm.edu.my/id/eprint/34389/
_version_ 1685651188124483584
score 13.211869

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