Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning

Feature Selection is Critical for 2-Year Prognosis in Advanced Stage High Grade Serous Ovarian Cancer by Using Machine Learning

Introduction Accurate prediction of patient prognosis can be especially useful for the selection of best treatment protocols. Machine Learning can serve this purpose by making predictions based upon generalizable clinical patterns embedded within learning datasets. We designed a study to support the...

Full description

Bibliographic Details
Main Authors: Alexandros Laios MD, PhD, Angeliki Katsenou PhD, Yong Sheng Tan MBBS, Racheal Johnson MBChB, MRCOG, Mohamed Otify MBBCh, MRCOG, MSc, Angelika Kaufmann MBBS, MRCOG, PhD, Sarika Munot MBBS, Amudha Thangavelu MBChB, MRCOG, MD, Richard Hutson MBBS, MRCOG, MD, Tim Broadhead MBChB, MRCOG, Georgios Theophilou MBBS, MRCOG, MD, David Nugent MBChB, MRCOG, PhD, Diederick De Jong MBBCh, PhD, MSc
Format: Article
Language:English
Published: SAGE Publishing 2021-10-01
Series:Cancer Control
Online Access:https://doi.org/10.1177/10732748211044678

Internet

https://doi.org/10.1177/10732748211044678

Similar Items