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Predicting complete cytoreduction for advanced ovarian cancer patients using nearest-neighbor models
BACKGROUND: The foundation of modern ovarian cancer care is cytoreductive surgery to remove all macroscopic disease (R0). Identification of R0 resection patients may help individualise treatment. Machine learning and AI have been shown to be effective systems for classification and prediction. For a...
Autores principales: | Laios, Alexandros, Gryparis, Alexandros, DeJong, Diederick, Hutson, Richard, Theophilou, Georgios, Leach, Chris |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7526140/ https://www.ncbi.nlm.nih.gov/pubmed/32993745 http://dx.doi.org/10.1186/s13048-020-00700-0 |
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