Development and Internal Validation of Supervised Machine Learning Algorithm for Predicting the Risk of Recollapse Following Minimally Invasive Kyphoplasty in Osteoporotic Vertebral Compression Fractures

• Главные авторы: Sheng-tao Dong (Автор), Jieyang Zhu (Автор), Hua Yang (Автор), Guangyi Huang (Автор), Chenning Zhao (Автор), Bo Yuan (Автор)
• Формат: ‌
• Опубликовано: Frontiers Media S.A., 2022-05-01T00:00:00Z.
• Предметы: article
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BackgroundThe published literatures indicate that patients with osteoporotic vertebral compression fractures (OVCFs) benefit significantly from percutaneous kyphoplasty (PKP), but this surgical technique is associated with frequent postoperative recollapse, a complication that severely limits long-t...