Automated screening for distress: A perspective for the future
Article
Article Title | Automated screening for distress: A perspective for the future |
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ERA Journal ID | 13513 |
Article Category | Article |
Authors | Rana, Rajib (Author), Latif, Siddique (Author), Gururajan, Raj (Author), Gray, Anthony (Author), Mackenzie, Geraldine (Author), Humphris, Gerald (Author) and Dunn, Jeff (Author) |
Journal Title | European Journal of Cancer Care |
Journal Citation | 28 (4) |
Article Number | e13033 |
Number of Pages | 13 |
Year | Jul 2019 |
Publisher | John Wiley & Sons |
Place of Publication | United Kingdom |
ISSN | 0961-5423 |
1365-2354 | |
Digital Object Identifier (DOI) | https://doi.org/10.1111/ecc.13033 |
Web Address (URL) | https://onlinelibrary.wiley.com/doi/abs/10.1111/ecc.13033 |
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. |
Keywords | automated distress screen; cancer; deep learnring; distress; spontaneous speech |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460212. Speech recognition |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Institute for Resilient Regions |
School of Management and Enterprise | |
School of Law and Justice | |
Office of the Vice-Chancellor | |
University of St Andrews, United Kingdom | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q50z7/automated-screening-for-distress-a-perspective-for-the-future
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