An interpretable machine learning model integrating early immune biomarkers for predicting outcomes after spinal cord injury.

Jiang X, Zhou D, Ma K, Zhang J, Hu H, Xue Z, Li M, Liu A, Sun T, Shi L, Huang X, Duan H, Zhang T, Shi X, Shengli H, Yu A

Open source

DOI: 10.3389/fneur.2026.1855360
Published: 2026
Container: Frontiers in neurology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fneur.2026.1855360,
  title = {An interpretable machine learning model integrating early immune biomarkers for predicting outcomes after spinal cord injury.},
  author = {Jiang X and Zhou D and Ma K and Zhang J and Hu H and Xue Z and Li M and Liu A and Sun T and Shi L and Huang X and Duan H and Zhang T and Shi X and Shengli H and Yu A},
  year = {2026},
  journal = {Frontiers in neurology},
  doi = {10.3389/fneur.2026.1855360},
  url = {https://doi.org/10.3389/fneur.2026.1855360}
}

RIS

TY  - JOUR
TI  - An interpretable machine learning model integrating early immune biomarkers for predicting outcomes after spinal cord injury.
AU  - Jiang X
AU  - Zhou D
AU  - Ma K
AU  - Zhang J
AU  - Hu H
AU  - Xue Z
AU  - Li M
AU  - Liu A
AU  - Sun T
AU  - Shi L
AU  - Huang X
AU  - Duan H
AU  - Zhang T
AU  - Shi X
AU  - Shengli H
AU  - Yu A
PY  - 2026
JO  - Frontiers in neurology
DO  - 10.3389/fneur.2026.1855360
UR  - https://doi.org/10.3389/fneur.2026.1855360
ER  -

APA

X, J., D, Z., K, M., J, Z., H, H., Z, X., M, L., A, L., T, S., L, S., X, H., H, D., T, Z., X, S., H, S., & A, Y. (2026). An interpretable machine learning model integrating early immune biomarkers for predicting outcomes after spinal cord injury.. Frontiers in neurology. https://doi.org/10.3389/fneur.2026.1855360

Source records

pubmed · retrieved 2026-09-25T16:46:13.282Z