The prediction of sagittal chin point relapse following two-jaw surgery using machine learning.
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ABSTRACT:
SUBMITTER: Kim YH
PROVIDER: S-EPMC10562368 | biostudies-literature | 2023 Oct
REPOSITORIES: biostudies-literature
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The prediction of sagittal chin point relapse following two-jaw surgery using machine learning.
Kim Young Ho YH Kim Inhwan I Kim Yoon-Ji YJ Kim Minji M Cho Jin-Hyoung JH Hong Mihee M Kang Kyung-Hwa KH Lim Sung-Hoon SH Kim Su-Jung SJ Kim Namkug N Shin Jeong Won JW Sung Sang-Jin SJ Baek Seung-Hak SH Chae Hwa Sung HS
Scientific reports 20231009 1
The study aimed to identify critical factors associated with the surgical stability of pogonion (Pog) by applying machine learning (ML) to predict relapse following two-jaw orthognathic surgery (2 J-OGJ). The sample set comprised 227 patients (110 males and 117 females, 207 training and 20 test sets). Using lateral cephalograms taken at the initial evaluation (T0), pretreatment (T1), after (T2) 2 J-OGS, and post treatment (T3), 55 linear and angular skeletal and dental surgical movements (T2-T1) ...[more]
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