A Combined Attribute Extraction Method for Detecting Postpartum Depression Using Social Media
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-7108-4_2
Reference29 articles.
1. Beck, C.T.: Predictors of postpartum depression: an update. Nurs. Res. 50(5), 275–285 (2001)
2. Halligan, S.L., Murray, L., Martins, C., Cooper, P.J.: Maternal depression and psychiatric outcomes in adolescent offspring: a 13-year longitudinal study. J. Affect. Disord. 97(1–3), 145–154 (2007)
3. De Choudhury, M., Counts, S., Horvitz, E.J., Hoff, A.: Characterizing and predicting postpartum depression from shared Facebook data. In: Proceedings of the 17th ACM conference on Computer Supported Cooperative Work & Social Computing, Portland, Oregon, pp. 626–638 (2014)
4. Dennis, C.L., Chung-Lee, L.: Postpartum depression help-seeking barriers and maternal treatment preferences: a qualitative systematic review. Birth 33(4), 323–331 (2006)
5. Holleran, S.: The early detection of depression from social networking sites. The University of Arizona (2010)
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