Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome

People who are exposed to chronic fatigue have the risk of developing physiological and psychological problems. Hence, it is essential to comprehend the development of chronic fatigue in order to support the persons with such risk. The main objective of the study was to develop a computational model...

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Main Author:	Hintaya, Houzifa M. Salahdeen
Format:	Thesis
Language:	eng eng
Published:	2012
Subjects:	T Technology (General) BF Psychology
Online Access:	https://etd.uum.edu.my/3301/1/HOUZIFA_M._SALAHDEEN_HINTAYA.pdf https://etd.uum.edu.my/3301/3/HOUZIFA_M._SALAHDEEN_HINTAYA.pdf
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id	my-uum-etd.3301
record_format	uketd_dc
institution	Universiti Utara Malaysia
collection	UUM ETD
language	eng eng
advisor	Ahmad, Faudziah Aziz, Azizi
topic	T Technology (General) BF Psychology
spellingShingle	T Technology (General) BF Psychology Hintaya, Houzifa M. Salahdeen Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome
description	People who are exposed to chronic fatigue have the risk of developing physiological and psychological problems. Hence, it is essential to comprehend the development of chronic fatigue in order to support the persons with such risk. The main objective of the study was to develop a computational model for temporal dynamic change during chronic fatigue. The methodology that was used to explore human cognitive processes in chronic fatigue consisted of four phases: identification of local and non-local dynamic properties, formalization of local and non-local dynamic properties, simulation, and evaluation. This kind of model brings benefits to psychologists in terms of acquiring more insight pertaining to chronic fatigue by simulating multiple conditions on digital environments. The factors that were identified to have direct/ indirect influence on chronic fatigue syndrome were negative personality factors, periodic over-activity, low job control, psychological stressors, physiological stressors, viral infection, mental load, emotional demand, work demand, short term stress, long term stress, viral susceptibility, immune system production, immune response, short term resistance level, long term resistance level, short term exhaustion, long term exhaustion, short term fatigue, long term fatigue, and chronic fatigue syndrome. The factors were used to construct the computational model. The model was simulated by applying it to five different scenarios, healthy person (scenario #1), moderate person (scenario #2), high risk individual (scenario #3), person with lack of planning (scenario #4), and embattled personality (scenario #5). The computational model was verified using mathematical analysis. Results showed that the computational model was able to show the effect of CFS to different types of scenarios.
format	Thesis
qualification_name	masters
qualification_level	Master's degree
author	Hintaya, Houzifa M. Salahdeen
author_facet	Hintaya, Houzifa M. Salahdeen
author_sort	Hintaya, Houzifa M. Salahdeen
title	Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome
title_short	Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome
title_full	Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome
title_fullStr	Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome
title_full_unstemmed	Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome
title_sort	computational model to simulate temporal dynamics in chronic fatigue syndrome
granting_institution	Universiti Utara Malaysia
granting_department	Awang Had Salleh Graduate School of Arts & Sciences
publishDate	2012
url	https://etd.uum.edu.my/3301/1/HOUZIFA_M._SALAHDEEN_HINTAYA.pdf https://etd.uum.edu.my/3301/3/HOUZIFA_M._SALAHDEEN_HINTAYA.pdf
_version_	1747827541976023040
spelling	my-uum-etd.33012016-04-27T01:49:36Z Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome 2012 Hintaya, Houzifa M. Salahdeen Ahmad, Faudziah Aziz, Azizi Awang Had Salleh Graduate School of Arts & Sciences Awang Had Salleh Graduate School of Arts and Sciences T Technology (General) BF Psychology People who are exposed to chronic fatigue have the risk of developing physiological and psychological problems. Hence, it is essential to comprehend the development of chronic fatigue in order to support the persons with such risk. The main objective of the study was to develop a computational model for temporal dynamic change during chronic fatigue. The methodology that was used to explore human cognitive processes in chronic fatigue consisted of four phases: identification of local and non-local dynamic properties, formalization of local and non-local dynamic properties, simulation, and evaluation. This kind of model brings benefits to psychologists in terms of acquiring more insight pertaining to chronic fatigue by simulating multiple conditions on digital environments. The factors that were identified to have direct/ indirect influence on chronic fatigue syndrome were negative personality factors, periodic over-activity, low job control, psychological stressors, physiological stressors, viral infection, mental load, emotional demand, work demand, short term stress, long term stress, viral susceptibility, immune system production, immune response, short term resistance level, long term resistance level, short term exhaustion, long term exhaustion, short term fatigue, long term fatigue, and chronic fatigue syndrome. The factors were used to construct the computational model. The model was simulated by applying it to five different scenarios, healthy person (scenario #1), moderate person (scenario #2), high risk individual (scenario #3), person with lack of planning (scenario #4), and embattled personality (scenario #5). The computational model was verified using mathematical analysis. Results showed that the computational model was able to show the effect of CFS to different types of scenarios. 2012 Thesis https://etd.uum.edu.my/3301/ https://etd.uum.edu.my/3301/1/HOUZIFA_M._SALAHDEEN_HINTAYA.pdf text eng validuser https://etd.uum.edu.my/3301/3/HOUZIFA_M._SALAHDEEN_HINTAYA.pdf text eng public masters masters Universiti Utara Malaysia Aziz,A.A., and Klein,M.C.A. (2010).Design of an intelligent support agent model for people with a cognitive vulnerability. IEEE Computer Society Press, 285-290. Afari,N., & Buchwald,D. (2003). Chronic fatigue syndrome: A review. Psychiatry, 160, 221–236. Arnold,J.A., Robertson,I.T., & Cooper,C.L. (1991). 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Computational Model to Simulate Temporal Dynamics in Chronic Fatigue Syndrome

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