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 language | English |
|---|---|
| Article number | e13033 |
| Journal | European Journal of Cancer Care |
| Volume | 28 |
| Issue number | 4 |
| Early online date | 18 Mar 2019 |
| DOIs | |
| Publication status | Published - 18 Jul 2019 |
Keywords
- Automated distress screen
- Cancer
- Deep learning
- Distress
- Spontaneous speech
Access to Document
- DistressDetectionLiteratureReview2
Copyright © 2019 John Wiley & Sons Ltd. This work has been made available online in accordance with the publisher’s policies. This is the author created, accepted version manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1111/ecc.13033