A Model Linking Uncertainty, Post-Traumatic Stress, and Health Behaviors in Childhood Cancer Survivors

2009 ◽  
Vol 36 (1) ◽  
pp. E20-E30 ◽  
Author(s):  
Ya-Ling Lee ◽  
Bih-Shya Gau ◽  
Wen-Ming Hsu ◽  
Hsiu-Hao Chang
Keyword(s):  
Health Behaviors ◽  
Cancer Survivors ◽  
Childhood Cancer ◽  
Traumatic Stress ◽  
Childhood Cancer Survivors ◽  
Post Traumatic Stress ◽  
Post Traumatic ◽  
Stress And Health

scholarly journals A deep learning approach for identifying cancer survivors living with post-traumatic stress disorder on Twitter

2020 ◽  
Vol 20 (S4) ◽  
Author(s):  
Nur Hafieza Ismail ◽  
Ninghao Liu ◽  
Mengnan Du ◽  
Zhe He ◽  
Xia Hu
Keyword(s):  
Cancer Survivors ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Well Being ◽  
Fear Of Cancer Recurrence ◽  
Psychological State ◽  
Long Term Effects ◽  
Post Traumatic Stress ◽  
Post Traumatic

Abstract Background Emotions after surviving cancer can be complicated. The survivors may have gained new strength to continue life, but some of them may begin to deal with complicated feelings and emotional stress due to trauma and fear of cancer recurrence. The widespread use of Twitter for socializing has been the alternative medium for data collection compared to traditional studies of mental health, which primarily depend on information taken from medical staff with their consent. These social media data, to a certain extent, reflect the users’ psychological state. However, Twitter also contains a mix of noisy and genuine tweets. The process of manually identifying genuine tweets is expensive and time-consuming. Methods We stream the data using cancer as a keyword to filter the tweets with cancer-free and use post-traumatic stress disorder (PTSD) related keywords to reduce the time spent on the annotation task. Convolutional Neural Network (CNN) learns the representations of the input to identify cancer survivors with PTSD. Results The results present that the proposed CNN can effectively identify cancer survivors with PTSD. The experiments on real-world datasets show that our model outperforms the baselines and correctly classifies the new tweets. Conclusions PTSD is one of the severe anxiety disorders that could affect individuals who are exposed to traumatic events, including cancer. Cancer survivors are at risk of short-term or long-term effects on physical and psycho-social well-being. Therefore, the evaluation and treatment of PTSD are essential parts of cancer survivorship care. It will act as an alarming system by detecting the PTSD presence based on users’ postings on Twitter.

Post-Traumatic Stress Disorder in Israeli Survivors of Childhood Cancer

2010 ◽  
Vol 37 (2) ◽  
pp. 160-167 ◽  
Author(s):  
Freda DeKeyser Ganz ◽  
Haya Raz ◽  
Doron Gothelf ◽  
Isaac Yaniv ◽  
Ilana Buchval
Keyword(s):  
Childhood Cancer ◽  
Post Traumatic Stress Disorder ◽  
Traumatic Stress ◽  
Stress Disorder ◽  
Post Traumatic Stress ◽  
Post Traumatic ◽  
Survivors Of Childhood Cancer

Post-traumatic stress after childhood cancer II: A family model

1994 ◽  
Vol 3 (4) ◽  
pp. 313-319 ◽  
Author(s):  
Margaret L. Stuber ◽  
Sandra Gonzalez ◽  
Kathleen Meeske ◽  
Donald Guthrie ◽  
Beth M. Houskamp ◽  
...  
Keyword(s):  
Childhood Cancer ◽  
Traumatic Stress ◽  
Post Traumatic Stress ◽  
Family Model ◽  
Post Traumatic
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