Development and validation of a machine learning model and nomogram for predicting lung metastasis in thymoma: A population-based study

Chao Wang, Yukai Zeng, Lening Zhang, Rong Bai, Fengwu Lin

Open source

DOI: 10.1097/md.0000000000051402
Published: 2026-11-06
Container: Medicine
Publisher: Ovid Technologies (Wolters Kluwer Health)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1097/md.0000000000051402,
  title = {Development and validation of a machine learning model and nomogram for predicting lung metastasis in thymoma: A population-based study},
  author = {Chao Wang and Yukai Zeng and Lening Zhang and Rong Bai and Fengwu Lin},
  year = {2026},
  journal = {Medicine},
  doi = {10.1097/md.0000000000051402},
  url = {https://doi.org/10.1097/md.0000000000051402}
}

RIS

TY  - JOUR
TI  - Development and validation of a machine learning model and nomogram for predicting lung metastasis in thymoma: A population-based study
AU  - Chao Wang
AU  - Yukai Zeng
AU  - Lening Zhang
AU  - Rong Bai
AU  - Fengwu Lin
PY  - 2026
JO  - Medicine
DO  - 10.1097/md.0000000000051402
UR  - https://doi.org/10.1097/md.0000000000051402
ER  -

APA

Wang, C., Zeng, Y., Zhang, L., Bai, R., & Lin, F. (2026). Development and validation of a machine learning model and nomogram for predicting lung metastasis in thymoma: A population-based study. Medicine. https://doi.org/10.1097/md.0000000000051402

Source records

crossref · retrieved 2026-11-08T04:54:05.696Z