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A machine learning-based model for predicting the risk of early-stage inguinal lymph node metastases in patients with squamous cell carcinoma of the penis
OBJECTIVE: Inguinal lymph node metastasis (ILNM) is significantly associated with poor prognosis in patients with squamous cell carcinoma of the penis (SCCP). Patient prognosis could be improved if the probability of ILNM incidence could be accurately predicted at an early stage. We developed a pred...
Autores principales: | Ding, Li, Zhang, Chi, Wang, Kun, Zhang, Yang, Wu, Chuang, Xia, Wentao, Li, Shuaishuai, Li, Wang, Wang, Junqi |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10063794/ https://www.ncbi.nlm.nih.gov/pubmed/37009612 http://dx.doi.org/10.3389/fsurg.2023.1095545 |
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