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...

Descripción completa

Detalles Bibliográficos
Autores principales: Laios, Alexandros, Gryparis, Alexandros, DeJong, Diederick, Hutson, Richard, Theophilou, Georgios, Leach, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research
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

Internet

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

Ejemplares similares