Informatics in Medicine Unlocked (Jan 2023)
Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm
- 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
Affiliations
- Baris Balaban
- Department 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.
- Caglar Yilgor
- Department of Orthopedics and Traumatology, Acibadem University School of Medicine, Istanbul, Turkey
- Altug Yucekul
- Department of Orthopedics and Traumatology, Acibadem University School of Medicine, Istanbul, Turkey
- Tais Zulemyan
- Comprehensive Spine Center, Acibadem Maslak Hospital, Istanbul, Turkey
- Ibrahim Obeid
- Clinique du Dos, Elsan Jean Villar Private Hospital, Bordeaux, France
- Javier Pizones
- Spine Surgery Unit, Hospital Universitario La Paz, Madrid, Spain
- Frank Kleinstueck
- Spine Center Division, Department of Orthopedics and Neurosurgery, Schulthess Klinik, Switzerland
- Francisco Javier Sanchez Perez-Grueso
- Spine Surgery Unit, Hospital Universitario La Paz, Madrid, Spain
- Ferran Pellise
- Spine Surgery Unit, Hospital Universitari Vall d'Hebron, Barcelona, Spain
- Ahmet Alanay
- Department of Orthopedics and Traumatology, Acibadem University School of Medicine, Istanbul, Turkey
- Osman Ugur Sezerman
- Department of Bioinformatics and Biostatistics, Acibadem University, Istanbul, Turkey
- Journal volume & issue
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Vol. 37
p. 101191
