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

Journal: Cancer control : journal of the Moffitt Cancer Center
Published Date: Jan 1, 2021

Abstract

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 feature selection for the 2-year prognostic period and compared the performance of several Machine Learning prediction algorithms for accurate 2-year prognosis estimation in advanced-stage high grade serous ovarian cancer (HGSOC) patients.

Authors

  • Alexandros Laios
    Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds, LS9 7TF, UK. alxlaios2000@yahoo.com.
  • Angeliki Katsenou
    Department of Electrical and Electronic Engineering, Visual Information Lab, 1980University of Bristol, Bristol, UK.
  • Yong Sheng Tan
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Racheal Johnson
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Mohamed Otify
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Angelika Kaufmann
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Sarika Munot
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Amudha Thangavelu
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Richard Hutson
    Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds, LS9 7TF, UK.
  • Tim Broadhead
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Georgios Theophilou
    Department of Gynaecological Oncology, St James's University Hospital, Leeds Teaching Hospitals, Leeds, LS9 7TF, UK.
  • David Nugent
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.
  • Diederick De Jong
    Department of Gynaecologic Oncology, Leeds Teaching Hospitals, 98540St James's University Hospital, Leeds, UK.

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