Construction of a clinical model for proximal caries via machine learning algorithms
Juan Liu, Yuxing Wang, Xiaoli Hu, Mo Xiao et autres
This study integrated cone-beam computed tomography(CBCT) imaging, cephalometric measurements, and clinical characteristics to construct a risk prediction model for proximal caries. Clinical and radiographic data were collected from 140 orthodontic patients. Three machine learning algorithms (least absolute shrinkage and selection operator(LASSO) regression, …
cn, us (code pays fourni par la source)
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BMC Oral Health