Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak

Alzheimer's disease (AD) is the most common form of dementia due to progressive mental deterioration. Reported recently, almost 50, 000 senior citizen aged 65 and above are affected with AD in Malaysia. This neurodegenerative dementia is serious but has no effective long-term treatment. The rap...

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Main Author:	Abd Razak, Hana'
Format:	Thesis
Language:	English
Published:	2011
Subjects:	Medical technology Alzheimer's disease
Online Access:	https://ir.uitm.edu.my/id/eprint/38030/1/38030.pdf
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id	my-uitm-ir.38030
record_format	uketd_dc
spelling	my-uitm-ir.380302022-09-14T14:02:22Z Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak 2011 Abd Razak, Hana' Medical technology Alzheimer's disease Alzheimer's disease (AD) is the most common form of dementia due to progressive mental deterioration. Reported recently, almost 50, 000 senior citizen aged 65 and above are affected with AD in Malaysia. This neurodegenerative dementia is serious but has no effective long-term treatment. The rapid development within the field of diagnostic measurement for AD observed in recent years offers new possibilities for scientists to invent more accurate tools in predicting susceptibility to the disease. Previous studies have seen the establishment of biomarkers as a significant method for predicting the risk or progression of AD. However, these considered the accuracy of one biomarker only. AD risk factors, on the other hand, have been a consideration in many studies but have not been properly modelled to be an advanced predictive tool. It is based on lifestyle choices that can help reduce the chance of developing the disease. Hitherto, wellestablished AD risk factors have never been considered for incorporation into a predictive tool and they only serve to indicate lifestyle choices that can help reduce the chance of developing the disease. In this work, a new predictive tool based on AD risk factors was developed. This is then incorporated into the existing biomarker predictive tools. A new mathematical model has been defined to describe the predictive tool based on disease profile that incorporates biomarkers and risk factors of AD. The tool has been demonstrated good accuracy of analysis for multiple factors related to AD. The formulae developed are based on the proportion of disease profile and several standard mathematical equations. The formulae were examined through three conditions of patients presenting; a) no biomarker with multiple risk factors, b) single biomarker with multiple risk factors, and c) multiple biomarkers with multiple risk factors. Findings in this work have shown that the developed predictive tool may offer the percentage of probability due to multiple biomarkers, multiple risk factors and single biomarker. It also reveals that the consideration in adding the risk factors as a predicting parameter could enhance the predicting result. 2011 Thesis https://ir.uitm.edu.my/id/eprint/38030/ https://ir.uitm.edu.my/id/eprint/38030/1/38030.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Pharmacy Abdul Majeed, Abu Bakar
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abdul Majeed, Abu Bakar
topic	Medical technology Alzheimer's disease
spellingShingle	Medical technology Alzheimer's disease Abd Razak, Hana' Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak
description	Alzheimer's disease (AD) is the most common form of dementia due to progressive mental deterioration. Reported recently, almost 50, 000 senior citizen aged 65 and above are affected with AD in Malaysia. This neurodegenerative dementia is serious but has no effective long-term treatment. The rapid development within the field of diagnostic measurement for AD observed in recent years offers new possibilities for scientists to invent more accurate tools in predicting susceptibility to the disease. Previous studies have seen the establishment of biomarkers as a significant method for predicting the risk or progression of AD. However, these considered the accuracy of one biomarker only. AD risk factors, on the other hand, have been a consideration in many studies but have not been properly modelled to be an advanced predictive tool. It is based on lifestyle choices that can help reduce the chance of developing the disease. Hitherto, wellestablished AD risk factors have never been considered for incorporation into a predictive tool and they only serve to indicate lifestyle choices that can help reduce the chance of developing the disease. In this work, a new predictive tool based on AD risk factors was developed. This is then incorporated into the existing biomarker predictive tools. A new mathematical model has been defined to describe the predictive tool based on disease profile that incorporates biomarkers and risk factors of AD. The tool has been demonstrated good accuracy of analysis for multiple factors related to AD. The formulae developed are based on the proportion of disease profile and several standard mathematical equations. The formulae were examined through three conditions of patients presenting; a) no biomarker with multiple risk factors, b) single biomarker with multiple risk factors, and c) multiple biomarkers with multiple risk factors. Findings in this work have shown that the developed predictive tool may offer the percentage of probability due to multiple biomarkers, multiple risk factors and single biomarker. It also reveals that the consideration in adding the risk factors as a predicting parameter could enhance the predicting result.
format	Thesis
qualification_level	Master's degree
author	Abd Razak, Hana'
author_facet	Abd Razak, Hana'
author_sort	Abd Razak, Hana'
title	Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak
title_short	Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak
title_full	Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak
title_fullStr	Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak
title_full_unstemmed	Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak
title_sort	alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / hana' abd razak
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Pharmacy
publishDate	2011
url	https://ir.uitm.edu.my/id/eprint/38030/1/38030.pdf
_version_	1783734451333758976

Alzheimer's disease predictive tool based on multiple biomarkers and multiple risk factors formulae / Hana' Abd Razak

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