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Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Predicting walking recovery after traumatic cervical spinal cord injury with machine learning: a multicenter cohort study

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BibTeX
@article{yang2026predicting,
  title = {{Predicting walking recovery after traumatic cervical spinal cord injury with machine learning: a multicenter cohort study}},
  author = {Shangsong Yang and Wu Zhou and Hao Wan and Ahao Wu and Sigen Huang and Chengyun Wang and Guosen Wang and Zihan Ding and Meihua Li},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-76655-x},
  url = {https://www.nature.com/articles/s41598-026-76655-x},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Predicting walking recovery after traumatic cervical spinal cord injury with machine learning: a multicenter cohort study
AU  - Shangsong Yang
AU  - Wu Zhou
AU  - Hao Wan
AU  - Ahao Wu
AU  - Sigen Huang
AU  - Chengyun Wang
AU  - Guosen Wang
AU  - Zihan Ding
AU  - Meihua Li
PY  - 2026
DA  - 2026/10/21
JO  - Scientific Reports
DO  - 10.1038/s41598-026-76655-x
UR  - https://www.nature.com/articles/s41598-026-76655-x
SN  - 2045-2322
ER  -