Prediction of Proximal Junctional Kyphosis After Posterior Scoliosis Surgery With Machine Learning in the Lenke 5 Adolescent Idiopathic Scoliosis Patient

OBJECTIVE: To build a model for proximal junctional kyphosis (PJK) prognostication in Lenke 5 adolescent idiopathic scoliosis (AIS) patients undergoing long posterior instrumentation and fusion surgery by machine learning and analyze the risk factors for PJK. MATERIALS AND METHODS: In total, 44 AIS...

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Detalles Bibliográficos
Autores principales: Peng, Li, Lan, Lan, Xiu, Peng, Zhang, Guangming, Hu, Bowen, Yang, Xi, Song, Yueming, Yang, Xiaoyan, Gu, Yonghong, Yang, Rui, Zhou, Xiaobo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Bioengineering and Biotechnology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573316/
https://www.ncbi.nlm.nih.gov/pubmed/33123512
http://dx.doi.org/10.3389/fbioe.2020.559387

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7573316/
https://www.ncbi.nlm.nih.gov/pubmed/33123512
http://dx.doi.org/10.3389/fbioe.2020.559387

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