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...

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Detalles Bibliográficos
Autores principales: Ou, Zhengjie, Mao, Wei, Tan, Lihua, Yang, Yanli, Liu, Shuanghuan, Zhang, Yanan, Li, Bin, Zhao, Dan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

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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