Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly

Chronic kidney disease (CKD) is a significant public health problem with increasing incidence and prevalence worldwide. This trend is also observed in Malaysia, where the prevalence of CKD was 9.07% in 2011. CKD progression is associated with specific metabolic and diagnostic parameters important in...

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Main Author:	Khan, Irfanullah
Format:	Thesis
Language:	English
Published:	2023
Subjects:	RS1-441 Pharmacy and materia medica
Online Access:	http://eprints.usm.my/60244/1/IRFANULLAH%20KHAN%20-%20TESIS%20cut.pdf
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id	my-usm-ep.60244
record_format	uketd_dc
spelling	my-usm-ep.602442024-03-20T06:09:37Z Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly 2023-07 Khan, Irfanullah RS1-441 Pharmacy and materia medica Chronic kidney disease (CKD) is a significant public health problem with increasing incidence and prevalence worldwide. This trend is also observed in Malaysia, where the prevalence of CKD was 9.07% in 2011. CKD progression is associated with specific metabolic and diagnostic parameters important in the disease's progression. CKD patients frequently experience depression, which can further impact their well-being. A prognostic disease progression model was developed for CKD patients to understand the variations among individuals about metabolic and diagnostic parameters, encompassing all relevant factors. The study consisted of a retrospective analysis of 470 CKD patients selected from the Hospital Universiti Sains Malaysia (USM) clinic and a cross-sectional evaluation of 300 patients from outpatient department clinics using the Beck Depression Inventory questionnaire to assess depression. Computational statistical modeling approaches were utilized to evaluate CKD patients' sociodemographic, metabolic, and diagnostic characteristics. The hazard ratio was tested and implemented using the R-Studio software and syntax, which was also used to design and develop the hybrid biometry approach. The advanced methodology was carried out in three stages: developing syntax for R for the hybrid biometry method, which consists of multiple layer perceptrons (MLP), logistic regression, and data bootstrapping. 2023-07 Thesis http://eprints.usm.my/60244/ http://eprints.usm.my/60244/1/IRFANULLAH%20KHAN%20-%20TESIS%20cut.pdf application/pdf en public phd doctoral Universiti Sains Malaysia Pusat Pengajian Sains Farmasi
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	RS1-441 Pharmacy and materia medica
spellingShingle	RS1-441 Pharmacy and materia medica Khan, Irfanullah Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
description	Chronic kidney disease (CKD) is a significant public health problem with increasing incidence and prevalence worldwide. This trend is also observed in Malaysia, where the prevalence of CKD was 9.07% in 2011. CKD progression is associated with specific metabolic and diagnostic parameters important in the disease's progression. CKD patients frequently experience depression, which can further impact their well-being. A prognostic disease progression model was developed for CKD patients to understand the variations among individuals about metabolic and diagnostic parameters, encompassing all relevant factors. The study consisted of a retrospective analysis of 470 CKD patients selected from the Hospital Universiti Sains Malaysia (USM) clinic and a cross-sectional evaluation of 300 patients from outpatient department clinics using the Beck Depression Inventory questionnaire to assess depression. Computational statistical modeling approaches were utilized to evaluate CKD patients' sociodemographic, metabolic, and diagnostic characteristics. The hazard ratio was tested and implemented using the R-Studio software and syntax, which was also used to design and develop the hybrid biometry approach. The advanced methodology was carried out in three stages: developing syntax for R for the hybrid biometry method, which consists of multiple layer perceptrons (MLP), logistic regression, and data bootstrapping.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Khan, Irfanullah
author_facet	Khan, Irfanullah
author_sort	Khan, Irfanullah
title	Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
title_short	Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
title_full	Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
title_fullStr	Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
title_full_unstemmed	Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly
title_sort	developing the prognostic model of chronic kidney disease progression and elucidating the global prevalence of chronic kidney disease depression among elderly
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Farmasi
publishDate	2023
url	http://eprints.usm.my/60244/1/IRFANULLAH%20KHAN%20-%20TESIS%20cut.pdf
_version_	1804888896940539904

Developing The Prognostic Model Of Chronic Kidney Disease Progression And Elucidating The Global Prevalence Of Chronic Kidney Disease Depression Among Elderly

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