Machine Learning Models to Predict Survival Outcomes According to the Surgical Approach of Primary Radical Hysterectomy in Patients with Early Cervical Cancer

SIMPLE SUMMARY: An increased risk of relapse and death from minimally invasive radical hysterectomy has been reported in some patients with early cervical cancer. Thus, the development of an intuitive and precise decision-aid tool, which estimates recurrence and mortality rates by surgical approach,...

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Detalles Bibliográficos
Autores principales: Kim, Se Ik, Lee, Sungyoung, Choi, Chel Hun, Lee, Maria, Suh, Dong Hoon, Kim, Hee Seung, Kim, Kidong, Chung, Hyun Hoon, No, Jae Hong, Kim, Jae-Weon, Park, Noh Hyun, Song, Yong-Sang, Kim, Yong Beom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345043/
https://www.ncbi.nlm.nih.gov/pubmed/34359610
http://dx.doi.org/10.3390/cancers13153709

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8345043/
https://www.ncbi.nlm.nih.gov/pubmed/34359610
http://dx.doi.org/10.3390/cancers13153709

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