Predictive modeling of axillary web syndrome in Chinese postoperative breast cancer patients using interpretable machine learning.

Du J, Yang J, Chen X, Cheng Z, Xiang T

DOI: 10.3389/fonc.2026.1900340
Published: 2026
Container: Frontiers in oncology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fonc.2026.1900340,
  title = {Predictive modeling of axillary web syndrome in Chinese postoperative breast cancer patients using interpretable machine learning.},
  author = {Du J and Yang J and Chen X and Cheng Z and Xiang T},
  year = {2026},
  journal = {Frontiers in oncology},
  doi = {10.3389/fonc.2026.1900340},
  url = {https://doi.org/10.3389/fonc.2026.1900340}
}

RIS

TY  - JOUR
TI  - Predictive modeling of axillary web syndrome in Chinese postoperative breast cancer patients using interpretable machine learning.
AU  - Du J
AU  - Yang J
AU  - Chen X
AU  - Cheng Z
AU  - Xiang T
PY  - 2026
JO  - Frontiers in oncology
DO  - 10.3389/fonc.2026.1900340
UR  - https://doi.org/10.3389/fonc.2026.1900340
ER  -

APA

J, D., J, Y., X, C., Z, C., & T, X. (2026). Predictive modeling of axillary web syndrome in Chinese postoperative breast cancer patients using interpretable machine learning.. Frontiers in oncology. https://doi.org/10.3389/fonc.2026.1900340

Source records

pubmed · retrieved 2026-09-25T01:29:54.897Z