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Identification of Cancer Survivors Living with PTSD on Social Media
Nur Hafieza Ismail, Ninghao Liu, Mengnan Du, Zhe He, Xia Hu
1468 - 1469
10.3233/SHTI190488
Research Article
Studies in Health Technology and Informatics
Volume 264: MEDINFO 2019: Health and Wellbeing e-Networks for All
Abstract

The trauma of cancer often leaves survivors with PTSD. Tweets posted on Twitter usually reflect the users’ psychological state, which is convenient for data collection. However, Twitter also contains a mix of noisy and genuine tweets. The process of manually identifying genuine tweets is expensive and time-consuming. Thus, we propose a knowledge transfer technique to filter out unrelated tweets. Our experiments show that our model outperforms the baselines.

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