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Prediction of survival outcomes in patients with epithelial ovarian cancer using machine learning methods
OBJECTIVES: The aim of this study was to develop a new prognostic classification for epithelial ovarian cancer (EOC) patients using gradient boosting (GB) and to compare the accuracy of the prognostic model with the conventional statistical method. METHODS: Information of EOC patients from Samsung M...
Autores principales: | Paik, E Sun, Lee, Jeong-Won, Park, Jeong-Yeol, Kim, Ju-Hyun, Kim, Mijung, Kim, Tae-Joong, Choi, Chel Hun, Kim, Byoung-Gie, Bae, Duk-Soo, Seo, Sung Wook |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Asian Society of Gynecologic Oncology; Korean Society of Gynecologic Oncology
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6543110/ https://www.ncbi.nlm.nih.gov/pubmed/31074247 http://dx.doi.org/10.3802/jgo.2019.30.e65 |
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