Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]

Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823000382
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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 2024-03-12T02:05:51Z
format Article
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institution Directory Open Access Journal
issn 2352-9148
language English
last_indexed 2024-03-12T02:05:51Z
publishDate 2023-01-01
publisher Elsevier
record_format Article
series Informatics in Medicine Unlocked
spelling doaj.art-23ca62a1cdda499db670c3f2f3050c552023-09-07T04:44:09ZengElsevierInformatics in Medicine Unlocked2352-91482023-01-0141101196Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]Baris 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/S2352914823000382
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
Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]
Informatics in Medicine Unlocked
title Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]
title_full Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]
title_fullStr Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]
title_full_unstemmed Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]
title_short Corrigendum to “Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm” [Inform Med Unlocked 37 (2023) 101191]
title_sort corrigendum to building clinically actionable models for predicting mechanical complications in postoperatively well aligned adult spinal deformity patients using xgboost algorithm inform med unlocked 37 2023 101191
url http://www.sciencedirect.com/science/article/pii/S2352914823000382
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