Construction and validation of machine learning models for predicting lymph node metastasis in cutaneous malignant melanoma: a large population-based study
The XGBoost model predicted LNM of CMM with a high level of precision. We hope that this model could assist surgeons in accurately evaluating surgical approaches and determining the extent of surgery, while also guiding the subsequent adjuvant therapies, thereby improving the prognosis of patients.
Authors
- Guoxiong Xu (ORCID: https://orcid.org/0000-0002-9074-8754)
- Yongming Dai (ORCID: https://orcid.org/0000-0002-6084-9685)
- Yi‐Long Kai
- Yan Shen (ORCID: https://orcid.org/0000-0002-4845-6037)
- Xiaoling Xu (ORCID: https://orcid.org/0000-0001-8995-1213)
- Hejiang Lu
- Lingfeng Lan
- Jun-Kun Zhang
- Ben Wang (ORCID: https://orcid.org/0009-0006-8031-6065)
Institutions
- Ningbo No. 2 Hospital (CN)
Publication Details
- Journal
- Translational Cancer Research
- Published
- 2025-02-01
- DOI
- https://doi.org/10.21037/tcr-24-1672
- Primary Topic
- Cutaneous Melanoma Detection and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00