Niņo-Sandoval, Tania Camila <br/><br/>
Use of automated learning techniques for predicting mandibular morphology in skeletal class I, II and III.  [electronic resource] 

 -  Forensic science international  Dec 2017 
 - 187.e1-187.e7 p.  digital 
<br/><br/> Publication Type: Journal Article 
<br/><br/><label>ISSN: </label>1872-6283 
<br/><br/><label>Standard No.: </label>10.1016/j.forsciint.2017.10.004  doi 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Adolescent<br/>Adult<br/>Anatomic Landmarks<br/>Cephalometry<br/>Female<br/>Humans<br/>Male<br/>Malocclusion--diagnostic imaging<br/>Mandible--anatomy & histology<br/>Neural Networks, Computer<br/>Regression Analysis<br/>Support Vector Machine<br/>Young Adult