A case study on quality of sleep and health using Bayesian networks
作者： Ching Sia Chye , Seng Lee Chiew , Choon Ong Hong
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摘要: The objectives of this study are to investigate the associations socio-demographic characteristics, living habits, social and interpersonal factors behaviour-related risk factors with both quality sleep state health. tool used is Bayesian networks (BNs), a special case probabilistic graphical models. data utilised in collected by employing sample survey technique through online network. A total 1316 sets of data with 20 variables interest being studied. Our situation whereby BNs structure unknown full observability. structural learning conducted on to learn correct network structure. There several phases involved including implementation of algorithms, integration prior knowledge whitelist argument and arc setting form directed acyclic graphs. scores computation implemented to estimate fitting resulting each algorithm order to choose best-fitted arc strength or edge intensity computed the marginal confidence presence an arc. We found that dependent on certain socio-demographic characteristics. health dependent on some characteristics habits. can also deduce the quality has impact
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