Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm
| Main Authors: | , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
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| Series: | Informatics in Medicine Unlocked |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352914823000333 |
| _version_ | 1811160808013430784 |
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| author | Baris Balaban Caglar Yilgor Altug Yucekul Tais Zulemyan Ibrahim Obeid Javier Pizones Frank Kleinstueck Francisco Javier Sanchez Perez-Grueso Ferran Pellise Ahmet Alanay Osman Ugur Sezerman |
| author_facet | Baris Balaban Caglar Yilgor Altug Yucekul Tais Zulemyan Ibrahim Obeid Javier Pizones Frank Kleinstueck Francisco Javier Sanchez Perez-Grueso Ferran Pellise Ahmet Alanay Osman Ugur Sezerman |
| author_sort | Baris Balaban |
| collection | DOAJ |
| first_indexed | 2024-04-10T06:04:43Z |
| format | Article |
| id | doaj.art-57b2bef0bfc9457d949e369e9990b85e |
| institution | Directory Open Access Journal |
| issn | 2352-9148 |
| language | English |
| last_indexed | 2024-04-10T06:04:43Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Informatics in Medicine Unlocked |
| spelling | doaj.art-57b2bef0bfc9457d949e369e9990b85e2023-03-03T04:24:57ZengElsevierInformatics in Medicine Unlocked2352-91482023-01-0137101191Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithmBaris Balaban0Caglar Yilgor1Altug Yucekul2Tais Zulemyan3Ibrahim Obeid4Javier Pizones5Frank Kleinstueck6Francisco Javier Sanchez Perez-Grueso7Ferran Pellise8Ahmet Alanay9Osman Ugur Sezerman10Department of Bioinformatics and Biostatistics, Acibadem University, Istanbul, Turkey; Corresponding author. Department of Bioinformatics and Biostatistics, Acibadem University, Icerenkoy, Kayisdagi Cad. No:32, 34752, Atasehir, Istanbul, Turkey.Department of Orthopedics and Traumatology, Acibadem University School of Medicine, Istanbul, TurkeyDepartment of Orthopedics and Traumatology, Acibadem University School of Medicine, Istanbul, TurkeyComprehensive Spine Center, Acibadem Maslak Hospital, Istanbul, TurkeyClinique du Dos, Elsan Jean Villar Private Hospital, Bordeaux, FranceSpine Surgery Unit, Hospital Universitario La Paz, Madrid, SpainSpine Center Division, Department of Orthopedics and Neurosurgery, Schulthess Klinik, SwitzerlandSpine Surgery Unit, Hospital Universitario La Paz, Madrid, SpainSpine Surgery Unit, Hospital Universitari Vall d'Hebron, Barcelona, SpainDepartment of Orthopedics and Traumatology, Acibadem University School of Medicine, Istanbul, TurkeyDepartment of Bioinformatics and Biostatistics, Acibadem University, Istanbul, Turkeyhttp://www.sciencedirect.com/science/article/pii/S2352914823000333 |
| spellingShingle | Baris Balaban Caglar Yilgor Altug Yucekul Tais Zulemyan Ibrahim Obeid Javier Pizones Frank Kleinstueck Francisco Javier Sanchez Perez-Grueso Ferran Pellise Ahmet Alanay Osman Ugur Sezerman Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm Informatics in Medicine Unlocked |
| title | Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm |
| title_full | Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm |
| title_fullStr | Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm |
| title_full_unstemmed | Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm |
| title_short | Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm |
| title_sort | building clinically actionable models for predicting mechanical complications in postoperatively well aligned adult spinal deformity patients using xgboost algorithm |
| url | http://www.sciencedirect.com/science/article/pii/S2352914823000333 |
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