A case study on quality of sleep and health using Bayesian networks

The objectives of this study are to investigate the associations of the socio-demographic characteristics, living habits, social and interpersonal factors and behaviour-related risk factors with both the quality of sleep and state of health. The tool used is Bayesian networks (BNs), a special cas...

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Main Authors:	Hong , Choon Ong, Chiew , Seng Lee, Chye , Ching Sia
Format:	Article
Published:	Penerbit Universiti Kebangsaan Malaysia 2012
Online Access:	http://journalarticle.ukm.my/5921/ http://journalarticle.ukm.my/5921/

id	ukm-5921
recordtype	eprints
spelling	ukm-59212013-01-30T13:40:24Z http://journalarticle.ukm.my/5921/ A case study on quality of sleep and health using Bayesian networks Hong , Choon Ong Chiew , Seng Lee Chye , Ching Sia The objectives of this study are to investigate the associations of the socio-demographic characteristics, living habits, social and interpersonal factors and behaviour-related risk factors with both the quality of sleep and state of health. The tool used is Bayesian networks (BNs), a special case of probabilistic graphical models. The data utilised in this study is collected by employing the sample survey technique through the online network. A total of 1316 sets of data are collected with 20 variables of interest being studied. Our situation is whereby the BNs structure is unknown with full observability. A structural learning is conducted on the data to learn the correct network structure. There are several phases involved including implementation of the learning algorithms, integration of prior knowledge through the whitelist argument and arc setting to form directed acyclic graphs. The network scores computation is implemented to estimate the fitting of the resulting network of each structural learning algorithm in order to choose the best-fitted network. The arc strength or edge intensity is computed to estimate the marginal confidence on the presence of an arc. We found that the quality of sleep is dependent on certain factors in socio-demographic characteristics. The state of health is dependent on some factors in socio-demographic characteristics and living habits. We can also deduce that the quality of sleep has an impact on the state of health. Penerbit Universiti Kebangsaan Malaysia 2012-12 Article PeerReviewed Hong , Choon Ong and Chiew , Seng Lee and Chye , Ching Sia (2012) A case study on quality of sleep and health using Bayesian networks. Journal of Quality Measurement and Analysis, 8 (2). pp. 21-36. ISSN 1823-5670 :http://pkukmweb.ukm.my/ppsmfst/jqma/index2.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
description	The objectives of this study are to investigate the associations of the socio-demographic characteristics, living habits, social and interpersonal factors and behaviour-related risk factors with both the quality of sleep and state of health. The tool used is Bayesian networks (BNs), a special case of probabilistic graphical models. The data utilised in this study is collected by employing the sample survey technique through the online network. A total of 1316 sets of data are collected with 20 variables of interest being studied. Our situation is whereby the BNs structure is unknown with full observability. A structural learning is conducted on the data to learn the correct network structure. There are several phases involved including implementation of the learning algorithms, integration of prior knowledge through the whitelist argument and arc setting to form directed acyclic graphs. The network scores computation is implemented to estimate the fitting of the resulting network of each structural learning algorithm in order to choose the best-fitted network. The arc strength or edge intensity is computed to estimate the marginal confidence on the presence of an arc. We found that the quality of sleep is dependent on certain factors in socio-demographic characteristics. The state of health is dependent on some factors in socio-demographic characteristics and living habits. We can also deduce that the quality of sleep has an impact on the state of health.
format	Article
author	Hong , Choon Ong Chiew , Seng Lee Chye , Ching Sia
spellingShingle	Hong , Choon Ong Chiew , Seng Lee Chye , Ching Sia A case study on quality of sleep and health using Bayesian networks
author_facet	Hong , Choon Ong Chiew , Seng Lee Chye , Ching Sia
author_sort	Hong , Choon Ong
title	A case study on quality of sleep and health using Bayesian networks
title_short	A case study on quality of sleep and health using Bayesian networks
title_full	A case study on quality of sleep and health using Bayesian networks
title_fullStr	A case study on quality of sleep and health using Bayesian networks
title_full_unstemmed	A case study on quality of sleep and health using Bayesian networks
title_sort	case study on quality of sleep and health using bayesian networks
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2012
url	http://journalarticle.ukm.my/5921/ http://journalarticle.ukm.my/5921/
first_indexed	2023-09-18T19:45:31Z
last_indexed	2023-09-18T19:45:31Z
_version_	1777405873650401280

A case study on quality of sleep and health using Bayesian networks

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