Robotic-assisted vs. open radical prostatectomy: A machine learning framework for intelligent analysis of patient-reported outcomes from online cancer support groups.

Journal: Urologic oncology
Published Date: Sep 17, 2018

Abstract

BACKGROUND: The advantages of Robot-assisted laparoscopic prostatectomy (RARP) over open radical prostatectomy (ORP) in Prostate cancer perioperatively are well-established, but quality of life is more contentious. Increasingly, patients are utilising online cancer support groups (OCSG) to express themselves. Currently there is no method of analysis of these sophisticated data sources. We have used the PRIME-2 (Patient Reported Information Multidimensional Exploration version 2) framework for automated identification and intelligent analysis of decision-making, functional and emotional outcomes in men undergoing ORP vs. RARP from OCSG discussions.

Authors

  • Weranja Ranasinghe
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Daswin De Silva
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Tharindu Bandaragoda
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Achini Adikari
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Damminda Alahakoon
    Research Centre for Data Analytics and Cognition, La Trobe University, Victoria, Australia.
  • Raj Persad
    North Bristol, NHS Trust, Bristol, United Kingdom.
  • Nathan Lawrentschuk
    Department of Surgery, University of Melbourne, Melbourne, Victoria, Australia; Division of Cancer Surgery, Peter MacCallum Cancer Centre and Olivia Newton-John Cancer Research Institute, Austin Hospital, Melbourne, Victoria, Australia.
  • Damien Bolton
    The Austin Hospital, Heidelberg, Australia; Ringwood Private Hospital, Ringwood East, Australia; University of Melbourne, Melbourne, Australia.

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