Bayesian Networks Analysis of Malocclusion Data.
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ABSTRACT:
SUBMITTER: Scutari M
PROVIDER: S-EPMC5681542 | biostudies-literature | 2017 Nov
REPOSITORIES: biostudies-literature
Publications
Bayesian Networks Analysis of Malocclusion Data.
Scutari Marco M Auconi Pietro P Caldarelli Guido G Franchi Lorenzo L
Scientific reports 20171110 1
In this paper we use Bayesian networks to determine and visualise the interactions among various Class III malocclusion maxillofacial features during growth and treatment. We start from a sample of 143 patients characterised through a series of a maximum of 21 different craniofacial features. We estimate a network model from these data and we test its consistency by verifying some commonly accepted hypotheses on the evolution of these disharmonies by means of Bayesian statistics. We show that un ...[more]
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