Peer-reviewedCC BY-NC-NDTranslational cancer research
Development and validation of machine learning-based models for identifying synchronous distant metastasis at initial diagnosis in cutaneous melanoma using the SEER database
- 1Department of Burn and Plastic Surgery , The First Affiliated Hospital of Shenzhen University , Shenzhen , ;
- 2Department of Burn and Plastic Surgery , General Hospital of Southern Theater Command , PLA , Guangzhou , ;
- 3Department of Plastic Surgery , Zhujiang Hospital , Southern Medical University , Guangzhou ,
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BibTeX
@article{wang2026development,
title = {{Development and validation of machine learning-based models for identifying synchronous distant metastasis at initial diagnosis in cutaneous melanoma using the SEER database}},
author = {Heng Wang and Jiangfeng Li and Fuguang Zhang and Yuelu Yang and Jianwu Chen and Guangtao Huang},
journal = {Translational cancer research},
year = {2026},
month = oct,
url = {https://europepmc.org/article/PMC/PMC13743242},
note = {CC BY-NC-ND},
}
RIS
TY - JOUR
TI - Development and validation of machine learning-based models for identifying synchronous distant metastasis at initial diagnosis in cutaneous melanoma using the SEER database
AU - Heng Wang
AU - Jiangfeng Li
AU - Fuguang Zhang
AU - Yuelu Yang
AU - Jianwu Chen
AU - Guangtao Huang
PY - 2026
DA - 2026/10/26
JO - Translational cancer research
UR - https://europepmc.org/article/PMC/PMC13743242
SN - 2218-676X
ER -