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Detecting suicide risk using knowledge-aware natural language processing and counseling service data.
Xu, Zhongzhi; Xu, Yucan; Cheung, Florence; Cheng, Mabel; Lung, Daniel; Law, Yik Wa; Chiang, Byron; Zhang, Qingpeng; Yip, Paul S F.
Affiliation
  • Xu Z; School of Data Science, City University of Hong Kong, Hong Kong Special Administrative Region; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Xu Y; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Cheung F; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Cheng M; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Lung D; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Law YW; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Chiang B; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region.
  • Zhang Q; School of Data Science, City University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: qingpeng.zhang@cityu.edu.hk.
  • Yip PSF; Hong Kong Jockey Club Centre for Suicide Research and Prevention, The University of Hong Kong, Hong Kong Special Administrative Region. Electronic address: sfpyip@hku.hk.
Soc Sci Med ; 283: 114176, 2021 08.
Article in En | MEDLINE | ID: mdl-34214846
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Text Messaging / Suicide Prevention Type of study: Etiology_studies / Risk_factors_studies Limits: Humans Language: En Journal: Soc Sci Med Year: 2021 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Text Messaging / Suicide Prevention Type of study: Etiology_studies / Risk_factors_studies Limits: Humans Language: En Journal: Soc Sci Med Year: 2021 Type: Article