Development and validation of a machine learning model to predict the risk of lymph node metastasis in early-stage supraglottic laryngeal cancer
Our study indicates that combining ML algorithms with clinical data can effectively predict LNM in patients diagnosed with early-stage SGLC. This is the first study to apply ML models in predicting LNM in early-stage SGLC patients.
Authors
- Hongyu Wang
- Juan Huang (ORCID: https://orcid.org/0000-0001-7414-7521)
- Xin Yue (ORCID: https://orcid.org/0000-0002-7625-2701)
- Ting Chen (ORCID: https://orcid.org/0000-0002-6616-0512)
- Lihong Chen (ORCID: https://orcid.org/0000-0003-0105-090X)
- Jiang Xu (ORCID: https://orcid.org/0000-0001-8051-2222)
- Zhiqiang He (ORCID: https://orcid.org/0000-0001-8536-5970)
Institutions
- Fujian Medical University (CN)
- Fujian Provincial Hospital (CN)
- Fuzhou University (CN)
Publication Details
- Journal
- Frontiers in Oncology
- Published
- 2025-01-29
- DOI
- https://doi.org/10.3389/fonc.2025.1525414
- Citations
- 2
- Primary Topic
- Head and Neck Cancer Studies
- Type
- article
- Field-Weighted Citation Impact
- 3.70
Funders
- National Natural Science Foundation of China