Development and clinical application of a supportive database system for the diagnoses of jaw deformities applied machine learning theory

2017 Fiscal Year Final Research Report

• Project/Area Number: 26463091
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Research Field: Orthodontics/Pediatric dentistry
• Research Institution: Niigata University
• Principal Investigator: Ochi-Yamazoe Kanako 新潟大学, 医歯学総合研究科, 研究員 (60397122)
• Co-Investigator(Kenkyū-buntansha): 齊藤 力 東京歯科大学, 歯学部, 客員教授 (80103357) ; 齋藤 功 新潟大学, 医歯学系, 教授 (90205633)
• Research Collaborator: YAMAZOE Kiyofumi 山添歯科医院, 山添矯正歯科, 歯科医師
• Project Period (FY): 2014-04-01 – 2018-03-31
• Keywords: 顎変形症 / 機械学習 / 歯列模型分析 / データベースシステム / 診断

Outline of Final Research Achievements

The purpose of this study was to develop a new diagnostic database system of jaw deformities. Large number of feature parameters extracted from digital dental models, such as Fourier descriptors and relative position of upper and lower models, were registered with this system. Algorithms applied machine learning theory were implemented to search several similar model data. This new system developed in this study attained retrieval of similar cases only using model data. Further tuning the algorithms of calculating the characteristic similarities and improving the discriminant functions will enable the database system to provide clinical efficiency for accurate diagnoses and for solutions of clinical problems.

Free Research Field

医歯薬学