Multiple Machine Learning Algorithms for Predicting Postoperative Residual Tumor in Pituitary Neuroendocrine Tumors

Mingrui Li, Chenyang Zhao, Guodong Tang, Yang Li, Qing Liu

Open source

DOI: 10.1002/cns.71244
Published: 2026-11
Container: CNS Neuroscience & Therapeutics
Publisher: Wiley
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1002/cns.71244,
  title = {Multiple Machine Learning Algorithms for Predicting Postoperative Residual Tumor in Pituitary Neuroendocrine Tumors},
  author = {Mingrui Li and Chenyang Zhao and Guodong Tang and Yang Li and Qing Liu},
  year = {2026},
  journal = {CNS Neuroscience \&amp; Therapeutics},
  doi = {10.1002/cns.71244},
  url = {https://doi.org/10.1002/cns.71244}
}

RIS

TY  - JOUR
TI  - Multiple Machine Learning Algorithms for Predicting Postoperative Residual Tumor in Pituitary Neuroendocrine Tumors
AU  - Mingrui Li
AU  - Chenyang Zhao
AU  - Guodong Tang
AU  - Yang Li
AU  - Qing Liu
PY  - 2026
JO  - CNS Neuroscience &amp; Therapeutics
DO  - 10.1002/cns.71244
UR  - https://doi.org/10.1002/cns.71244
ER  -

APA

Li, M., Zhao, C., Tang, G., Li, Y., & Liu, Q. (2026). Multiple Machine Learning Algorithms for Predicting Postoperative Residual Tumor in Pituitary Neuroendocrine Tumors. CNS Neuroscience & Therapeutics. https://doi.org/10.1002/cns.71244

Source records

crossref · retrieved 2026-11-08T22:13:20.614Z