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Prediction of Postoperative Pathologic Risk Factors in Cervical Cancer Patients Treated with Radical Hysterectomy by Machine Learning
Pretherapeutic serological parameters play a predictive role in pathologic risk factors (PRF), which correlate with treatment and prognosis in cervical cancer (CC). However, the method of pre-operative prediction to PRF is limited and the clinical availability of machine learning methods remains unk...
Autores principales: | Ou, Zhengjie, Mao, Wei, Tan, Lihua, Yang, Yanli, Liu, Shuanghuan, Zhang, Yanan, Li, Bin, Zhao, Dan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9776916/ https://www.ncbi.nlm.nih.gov/pubmed/36547169 http://dx.doi.org/10.3390/curroncol29120755 |
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