Bayesian networks analysis of malocclusion data
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 est...
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Format: | Journal article |
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Nature Publishing Group
2017
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