Citation

Rana R, Latif S, Gururajan R, Gray A, Mackenzie G, Humphris G, Dunn J. Eur. J. Cancer Care 2019; 28(4): e13033.

Copyright

(Copyright © 2019, John Wiley and Sons)

DOI

10.1111/ecc.13033

PMID

30883964

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.

Language: en

Keywords

Humans; Automation; Anxiety; Depression; Neoplasms; Patient Health Questionnaire; Mass Screening; Checklist; cancer; distress; Psychological Distress; Deep Learning; Speech Acoustics; automated distress screen; deep learnring; spontaneous speech