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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
Sung Hyun Noh, Hye Sun Lee, Go Eun Park, Yoon Ha, Jeong Yoon Park, Sung Uk Kuh, Dong Kyu Chin, Keun Su Kim, Yong Eun Cho, Sang Hyun Kim, Kyung Hyun Kim
Neurospine. 2023;20(1):265-274.   Published online March 31, 2023
DOI: https://doi.org/10.14245/ns.2244854.427

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Commentary on “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”
Neurospine. 2023;20(1):275-277   Crossref logo
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Commentary on “Modified Global Alignment and Proportion Scoring With Body Mass Index and Bone Mineral Density Analysis in Global Alignment and Proportion Score of Each 3 Categories for Predicting Mechanical Complications After Adult Spinal Deformity Surgery”
Neurospine. 2021;18(3):492-494   Crossref logo
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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
Neurospine. 2023;20(1):265-274   Crossref logo
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Modified Global Alignment and Proportion Scoring With Body Mass Index and Bone Mineral Density Analysis in Global Alignment and Proportion Score of Each 3 Categories for Predicting Mechanical Complications After Adult Spinal Deformity Surgery
Neurospine. 2021;18(3):484-491   Crossref logo
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Modified global alignment and proportion scoring with body mass index and bone mineral density (GAPB) for improving predictions of mechanical complications after adult spinal deformity surgery
The Spine Journal. 2020;20(5):776-784   Crossref logo
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Validity of the global alignment proportion (GAP) score in predicting mechanical complications after adult spinal deformity surgery in elderly patients
European Spine Journal. 2021;30(5):1190-1198   Crossref logo
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Predicting mechanical complications after adult spinal deformity surgery using a machine learning approach
. 2022;   Crossref logo
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Global Alignment and Proportion (GAP) Score: Development and Validation of a New Method of Analyzing Spinopelvic Alignment to Predict Mechanical Complications After Adult Spinal Deformity Surgery
The Spine Journal. 2017;17(10):S155-S156   Crossref logo
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Predicting Surgical Complications in Patients Undergoing Elective Adult Spinal Deformity Procedures Using Machine Learning
Spine Deformity. 2018;6(6):762-770   Crossref logo
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Ability of the Global Alignment and Proportion Score to Predict Mechanical Failure Following Adult Spinal Deformity Surgery—Validation in 149 Patients With Two-Year Follow-up
Spine Deformity. 2019;7(2):331-337   Crossref logo
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