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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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| 出版年: | Front Bioeng Biotechnol |
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| 主要な著者: | , , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Frontiers Media S.A.
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7573316/ https://ncbi.nlm.nih.gov/pubmed/33123512 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fbioe.2020.559387 |
| タグ: |
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