Balaban, B. Et Al. 2023. Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm. Informatics in Medicine Unlocked , vol.37 .

Balaban, B., YILGÖR, İ. Ç., YUCEKUL, A., Zulemyan, T., Obeid, I., Pizones, J., ... Kleinstueck, F.(2023). Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm. Informatics in Medicine Unlocked , vol.37.

Balaban, Baris Et Al. "Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm," Informatics in Medicine Unlocked , vol.37, 2023

Balaban, Baris Et Al. "Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm." Informatics in Medicine Unlocked , vol.37, 2023

Balaban, B. Et Al. (2023) . "Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm." Informatics in Medicine Unlocked , vol.37.

@article{article, author={Baris Balaban Et Al. }, title={Building clinically actionable models for predicting mechanical complications in postoperatively well-aligned adult spinal deformity patients using XGBoost algorithm}, journal={Informatics in Medicine Unlocked}, year=2023}