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Automated screening for distress: A perspective for the future.

Rajib RanaSiddique LatifRaj GururajanAnthony GrayGeraldine MackenzieGerald HumphrisJeff Dunn
Published in: European journal of cancer care (2019)
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.
Keyphrases
  • sleep quality
  • randomized controlled trial
  • primary care
  • healthcare
  • depressive symptoms
  • quality improvement
  • deep learning
  • clinical practice
  • electronic health record
  • current status
  • artificial intelligence
  • big data