Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar

The improvement in mortality rates in many countries over the world has a major impact on costs associated with living longer. The trend of life expectancy in Malaysia population has steadily increased. This is due to the advancement of medical technology and people awareness of their health risk. C...

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Main Author: Omar, Muhammad Hakeem
Format: Thesis
Language:English
Published: 2022
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Online Access:https://ir.uitm.edu.my/id/eprint/75716/1/75716.pdf
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spelling my-uitm-ir.757162023-03-30T13:28:33Z Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar 2022 Omar, Muhammad Hakeem Medical care Cancer The improvement in mortality rates in many countries over the world has a major impact on costs associated with living longer. The trend of life expectancy in Malaysia population has steadily increased. This is due to the advancement of medical technology and people awareness of their health risk. Cancer has been one of the leading causes of death in Malaysia for many years. There are four stages of lung cancer and the treatment for each lung cancer's stages may vary. If cancer were just spread in one place, the doctor may recommend a local treatment to get rid of the cancer completely. Whereas, if the cancer has spread to the other part of the body, more comprehensive treatments maybe needed thus will increase the costs of treatment. Therefore, it is crucial to estimate the transition probabilities between lung cancer stages to measure the accurate cost of treatment according to respective stages. The lack of extensive longitudinal data that trace the progression of cancer from one stage to more severe stages challenges the process of estimating transition probabilities of lung cancer. As an alternative, a specific method needs to be developed in order to make use of the existing cross-sectional data to estimate the probabilities. The objectives of this research are firstly, to analyse Malaysian cancer cases data by performing descriptive analysis using statistical method and secondly to compute the Cancer-free Life Expectancy for Malaysian population and compare with the life expectancy of Malaysian population. 2022 Thesis https://ir.uitm.edu.my/id/eprint/75716/ https://ir.uitm.edu.my/id/eprint/75716/1/75716.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Shair, Syazreen Niza
institution Universiti Teknologi MARA
collection UiTM Institutional Repository
language English
advisor Shair, Syazreen Niza
topic Medical care
Cancer
spellingShingle Medical care
Cancer
Omar, Muhammad Hakeem
Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar
description The improvement in mortality rates in many countries over the world has a major impact on costs associated with living longer. The trend of life expectancy in Malaysia population has steadily increased. This is due to the advancement of medical technology and people awareness of their health risk. Cancer has been one of the leading causes of death in Malaysia for many years. There are four stages of lung cancer and the treatment for each lung cancer's stages may vary. If cancer were just spread in one place, the doctor may recommend a local treatment to get rid of the cancer completely. Whereas, if the cancer has spread to the other part of the body, more comprehensive treatments maybe needed thus will increase the costs of treatment. Therefore, it is crucial to estimate the transition probabilities between lung cancer stages to measure the accurate cost of treatment according to respective stages. The lack of extensive longitudinal data that trace the progression of cancer from one stage to more severe stages challenges the process of estimating transition probabilities of lung cancer. As an alternative, a specific method needs to be developed in order to make use of the existing cross-sectional data to estimate the probabilities. The objectives of this research are firstly, to analyse Malaysian cancer cases data by performing descriptive analysis using statistical method and secondly to compute the Cancer-free Life Expectancy for Malaysian population and compare with the life expectancy of Malaysian population.
format Thesis
qualification_level Master's degree
author Omar, Muhammad Hakeem
author_facet Omar, Muhammad Hakeem
author_sort Omar, Muhammad Hakeem
title Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar
title_short Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar
title_full Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar
title_fullStr Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar
title_full_unstemmed Morbidity and mortality risks of lung cancer patients in Malaysia: cancer free life expectancy and extension of functional Markov model / Muhammad Hakeem Omar
title_sort morbidity and mortality risks of lung cancer patients in malaysia: cancer free life expectancy and extension of functional markov model / muhammad hakeem omar
granting_institution Universiti Teknologi MARA (UiTM)
granting_department Faculty of Computer and Mathematical Sciences
publishDate 2022
url https://ir.uitm.edu.my/id/eprint/75716/1/75716.pdf
_version_ 1783736075016994816