Predicting complete cytoreduction for advanced ovarian cancer patients using nearest-neighbor models

Predicting complete cytoreduction for advanced ovarian cancer patients using nearest-neighbor models

Abstract 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 predictio...

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Bibliographic Details
Main Authors: Alexandros Laios, Alexandros Gryparis, Diederick DeJong, Richard Hutson, Georgios Theophilou, Chris Leach
Format: Article
Language:English
Published: BMC 2020-09-01
Series:Journal of Ovarian Research
Subjects:
Ovarian Cancer
Cytoreduction
Predictive factors
Machine learning
Artificial intelligence
Online Access:http://link.springer.com/article/10.1186/s13048-020-00700-0

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