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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

Notes

Disclosures

The authors have no conflicts of interest to disclose.

References

  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
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    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
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    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
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    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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