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Retraction Note to: European Spine Journal (2023) 32:2140–2148 https://doi.org/10.1007/s00586-023-07712-6
The Editor-in-Chief has retracted this article. After the publication of the article, concerns were raised regarding overlap in text and images from another published article [1]. In addition, in an investigation, the Publisher found that the reference in the legend of Figure 1 is incorrect. The authors did not provide a satisfactory explanation for any of these concerns and failed to provide raw data.
Author, P. Kalyani does not agree to this retraction. Ahmed Nabih Zaki Rashed, Y. Manasa, Sk Hasane Ahammad, M. Suman, Twana Mohammed Kak Anwer, and Md. Amzad Hossain have not responded to any correspondence from the editor/publisher about this retraction.
Reference
Inoue T, Ichikawa D, Ueno T, Cheong M, Inoue T, Whetstone WD, Endo T, Nizuma K, Tominaga T (2020) XGBoost, a machine learning method, predicts neurological recovery in patients with cervical spinal cord injury. Neurotrauma Rep 1(1):8–16
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Kalyani, P., Manasa, Y., Ahammad, S.H. et al. Retraction Note: Prediction of patient’s neurological recovery from cervical spinal cord injury through XGBoost learning approach. Eur Spine J (2024). https://doi.org/10.1007/s00586-024-08294-7
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DOI: https://doi.org/10.1007/s00586-024-08294-7