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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,...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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