Chaitanya Bhatt, Ethan Lin, Laura E Ferreira-Legere, Cynthia A Jackevicius, Dennis T Ko, Douglas S Lee, Kathryn Schade, Sharon Johnston, Todd J Anderson, Jacob A Udell
Evaluating Readability, Understandability, and Actionability of Online Printable Patient Education Materials for Cholesterol Management: A Systematic Review
Journal of the American Heart Association
analyzing correlation cephalometric measurements important improving understanding anatomy oral maxillofacial region minimize bias resulting design input data establish reference malocclusion research aims study construct input set integrating nine cephalometric analyses study correlation structure cephalometric variables korean adults normal occlusion analyze complex correlation structure among 65 cephalometric variables based nine classical cephalometric analyses network analysis applied data obtained 735 adults 368 males 367 females aged 1825 years normal occlusion structure better revealed weighted network analysis minimum spanning tree network analysis revealed cephalometric variable clusters inter intracorrelation structure metrics divided based geometric interpretation rather clinical significance confirmed various classical cephalometric analyses primarily focus investigating nine anatomical features investigating correlation cephalometric variables network analysis significantly enhance understanding anatomical characteristics oral maxillofacial region crucial step studying malocclusion using artificial intelligence