The prediction of sagittal chin point relapse following two-jaw surgery using machine learning

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...

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Detalles Bibliográficos
Autores principales: Kim, Young Ho, Kim, Inhwan, Kim, Yoon-Ji, Ki, Minji, Cho, Jin-Hyoung, Hong, Mihee, Kang, Kyung-Hwa, Lim, Sung-Hoon, Kim, Su-Jung, Kim, Namkug, Shin, Jeong Won, Sung, Sang-Jin, Baek, Seung-Hak, Chae, Hwa Sung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562368/
https://www.ncbi.nlm.nih.gov/pubmed/37813915
http://dx.doi.org/10.1038/s41598-023-44207-2

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10562368/
https://www.ncbi.nlm.nih.gov/pubmed/37813915
http://dx.doi.org/10.1038/s41598-023-44207-2

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