Predicting Mechanical Complications After Adult Spinal Deformity Operation Using a Machine Learning Based on Modified Global Alignment and Proportion Scoring With Body Mass Index and Bone Mineral Density

OBJECTIVE: This study aimed to create an ideal machine learning model to predict mechanical complications in adult spinal deformity (ASD) surgery based on GAPB (modified global alignment and proportion scoring with body mass index and bone mineral density) factors. METHODS: Between January 2009 and...

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Detalles Bibliográficos
Autores principales: Noh, Sung Hyun, Lee, Hye Sun, Park, Go Eun, Ha, Yoon, Park, Jeong Yoon, Kuh, Sung Uk, Chin, Dong Kyu, Kim, Keun Su, Cho, Yong Eun, Kim, Sang Hyun, Kim, Kyung Hyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Korean Spinal Neurosurgery Society 2023
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080453/
https://www.ncbi.nlm.nih.gov/pubmed/37016873
http://dx.doi.org/10.14245/ns.2244854.427

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10080453/
https://www.ncbi.nlm.nih.gov/pubmed/37016873
http://dx.doi.org/10.14245/ns.2244854.427

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