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 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
-
SDG 3 Good Health and Well-being
Keywords
- Automated distress screen
- Cancer
- Deep learning
- Distress
- Spontaneous speech
Fingerprint
Dive into the research topics of 'Automated screening for distress: a perspective for the future'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver