Automated screening for distress: a perspective for the future

Rajib Rana, Saddique Latif, Raj Gururajan, Anthony Gray, Geraldine Mackenzie, Gerald Humphris, Jeff Dunn

Research output: Contribution to journalArticlepeer-review

10 Citations (Scopus)
6 Downloads (Pure)

Abstract

Distress is a complex condition, which affects a significant percentage of cancer patients and may lead to depression, anxiety, sadness, suicide and other forms of psychological morbidity. Compelling evidence supports screening for distress as a means of facilitating early intervention and subsequent improvements in psychological well‐being and overall quality of life. Nevertheless, despite the existence of evidence‐based and easily administered screening tools, for example, the Distress Thermometer, routine screening for distress is yet to achieve widespread implementation. Efforts are intensifying to utilise innovative, cost‐effective methods now available through emerging technologies in the informatics and computational arenas.
Original languageEnglish
Article numbere13033
JournalEuropean Journal of Cancer Care
Volume28
Issue number4
Early online date18 Mar 2019
DOIs
Publication statusPublished - 18 Jul 2019

Keywords

  • Automated distress screen
  • Cancer
  • Deep learning
  • Distress
  • Spontaneous speech

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