Annals of Surgical Oncology

, Volume 25, Supplement 3, pp 980–981 | Cite as

ASO Author Reflections: Enabling Optimised Delivery of Patient-Centred Cancer Care Using Artificial Intelligence and Data Analytics

  • Weranja RanasingheEmail author
  • Daswin de Silva
  • Tharindu Bandaragoda
  • Achini Adikari
  • Nathan Lawrentschuk
  • Damminda Alahakoon
  • Raj Persad
  • Damien Bolton
ASO Author Reflections



The authors have no conflicts of interest to disclose.


  1. 1.
    Luxford K, Safran DG, Delbanco T. Promoting patient-centered care: a qualitative study of facilitators and barriers in healthcare organizations with a reputation for improving the patient experience. Int J Qual Health Care. 2011;l23(5):510–15.CrossRefGoogle Scholar
  2. 2.
    Bandaragoda T, De Silva D, Alahakoon D, Ranasinghe W, Bolton D. Text mining for personalised knowledge extraction from online health forums. J Assoc Inform Sci Technol. 2018a (accepted)Google Scholar
  3. 3.
    Bandaragoda T, Ranasinghe W, Adikari A, De Silva D, Lawrentschuk N, Alahakoon D, Persad R, Bolton D. The PRIME framework for investigating emotions and other patient factors in low-intermediate risk prostate cancer patients based on online cancer support group discussions. Ann Surg Oncol. 2018; 25:1737–1745 (accepted).Google Scholar
  4. 4.
    Ranasinghe W, Bandaragoda T, De Silva D, Alahakoon D. A novel framework for automated, intelligent extraction and analysis of online support group discussions for cancer related outcomes. BJU Int. 2017;120:59–61.CrossRefGoogle Scholar

Copyright information

© Society of Surgical Oncology 2018

Authors and Affiliations

  1. 1.Research Centre for Data Analytics and CognitionLa Trobe UniversityMelbourneAustralia
  2. 2.Austin HospitalHeidelbergAustralia
  3. 3.North Bristol NHS TrustBristolUK

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