Automated screening for distress: a perspective for the future

Rana, Rajib and Latif, Siddique and Gururajan, Raj and Gray, Anthony and Mackenzie, Geraldine and Humphris, Gerald and Dunn, Jeff (2019) Automated screening for distress: a perspective for the future. European Journal of Cancer Care (Article 13033). ISSN 0961-5423

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 wellbeing 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.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Published online: 18 March 2019. Permanent restricted access to ArticleFirst version, in accordance with the copyright policy of the publisher.
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions
Date Deposited: 19 Mar 2019 05:57
Last Modified: 30 May 2019 04:50
Uncontrolled Keywords: automated distress screen, cancer, deep learnring, spontaneous speech
Fields of Research : 08 Information and Computing Sciences > 0899 Other Information and Computing Sciences > 089999 Information and Computing Sciences not elsewhere classified
11 Medical and Health Sciences > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified
Socio-Economic Objective: C Society > 92 Health > 9299 Other Health > 929999 Health not elsewhere classified
Identification Number or DOI: 10.1111/ecc.13033
URI: http://eprints.usq.edu.au/id/eprint/35637

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