Prediction of patient's neurological recovery from cervical spinal cord injury through XGBoost learning approach.
- DOI
- 10.1007/s00586-023-07712-6
- Published
- 2023 Jun
- Container
- European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society
- Publisher
- Not recorded
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1007/s00586-023-07712-6,
title = {Prediction of patient's neurological recovery from cervical spinal cord injury through XGBoost learning approach.},
author = {Kalyani P and Manasa Y and Ahammad SH and Suman M and Anwer TMK and Hossain MA and Rashed ANZ},
year = {2023},
journal = {European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society},
doi = {10.1007/s00586-023-07712-6},
url = {https://doi.org/10.1007/s00586-023-07712-6}
}RIS
TY - JOUR TI - Prediction of patient's neurological recovery from cervical spinal cord injury through XGBoost learning approach. AU - Kalyani P AU - Manasa Y AU - Ahammad SH AU - Suman M AU - Anwer TMK AU - Hossain MA AU - Rashed ANZ PY - 2023 JO - European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society DO - 10.1007/s00586-023-07712-6 UR - https://doi.org/10.1007/s00586-023-07712-6 ER -
APA
P, K., Y, M., SH, A., M, S., TMK, A., MA, H., & ANZ, R. (2023). Prediction of patient's neurological recovery from cervical spinal cord injury through XGBoost learning approach.. European spine journal : official publication of the European Spine Society, the European Spinal Deformity Society, and the European Section of the Cervical Spine Research Society. https://doi.org/10.1007/s00586-023-07712-6
Source records
- pubmed · retrieved 2026-11-11T00:38:19.616Z