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 -