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Citing this Article

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Published on 14.08.17 in Vol 19, No 8 (2017): August

This paper is in the following e-collection/theme issue:

Works citing "A Collaborative Approach to Identifying Social Media Markers of Schizophrenia by Employing Machine Learning and Clinical Appraisals"

According to Crossref, the following articles are citing this article (DOI 10.2196/jmir.7956):

(note that this is only a small subset of citations)

  1. Nugent NR, Pendse SR, Schatten HT, Armey MF. Innovations in Technology and Mechanisms of Change in Behavioral Interventions. Behavior Modification 2019;:014544551984560
    CrossRef
  2. Birnbaum ML, Ernala SK, Rizvi AF, Arenare E, R. Van Meter A, De Choudhury M, Kane JM. Detecting relapse in youth with psychotic disorders utilizing patient-generated and patient-contributed digital data from Facebook. npj Schizophrenia 2019;5(1)
    CrossRef
  3. Pater JA, Farrington B, Brown A, Reining LE, Toscos T, Mynatt ED. Exploring Indicators of Digital Self-Harm with Eating Disorder Patients. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
    CrossRef
  4. Baumer EPS, Guha S, Skeba P, Gay G. All Users are (Not) Created Equal. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
    CrossRef
  5. Leis A, Ronzano F, Mayer MA, Furlong LI, Sanz F. Detecting Signs of Depression in Tweets in Spanish: Behavioral and Linguistic Analysis. Journal of Medical Internet Research 2019;21(6):e14199
    CrossRef
  6. Chancellor S, Baumer EPS, De Choudhury M. Who is the "Human" in Human-Centered Machine Learning. Proceedings of the ACM on Human-Computer Interaction 2019;3(CSCW):1
    CrossRef
  7. Sumner SA, Galik S, Mathieu J, Ward M, Kiley T, Bartholow B, Dingwall A, Mork P. Temporal and Geographic Patterns of Social Media Posts About an Emerging Suicide Game. Journal of Adolescent Health 2019;65(1):94
    CrossRef
  8. Nitzburg G, Weber I, Yom-Tov E. Internet Searches for Medical Symptoms Before Seeking Information on 12-Step Addiction Treatment Programs: A Web-Search Log Analysis. Journal of Medical Internet Research 2019;21(5):e10946
    CrossRef
  9. Pereira-Sanchez V, Alvarez-Mon MA, Asunsolo del Barco A, Alvarez-Mon M, Teo A. Exploring the Extent of the Hikikomori Phenomenon on Twitter: Mixed Methods Study of Western Language Tweets. Journal of Medical Internet Research 2019;21(5):e14167
    CrossRef
  10. Saha K, Torous J, Ernala SK, Rizuto C, Stafford A, De Choudhury M. A computational study of mental health awareness campaigns on social media. Translational Behavioral Medicine 2019;
    CrossRef
  11. Yin Z, Sulieman LM, Malin BA. A systematic literature review of machine learning in online personal health data. Journal of the American Medical Informatics Association 2019;26(6):561
    CrossRef
  12. Su Y, Borah P. Who is the agenda setter? Examining the intermedia agenda-setting effect between Twitter and newspapers. Journal of Information Technology & Politics 2019;16(3):236
    CrossRef
  13. Cacheda F, Fernandez D, Novoa FJ, Carneiro V. Early Detection of Depression: Social Network Analysis and Random Forest Techniques. Journal of Medical Internet Research 2019;21(6):e12554
    CrossRef
  14. Fernández-Sotos P, Fernández-Caballero A, González P, Aparicio AI, Martínez-Gras I, Torio I, Dompablo M, García-Fernández L, Santos JL, Rodriguez-Jimenez R. Digital Technology for Internet Access by Patients With Early-Stage Schizophrenia in Spain: Multicenter Research Study. Journal of Medical Internet Research 2019;21(4):e11824
    CrossRef
  15. Boyd RL, Cai Z. Mental profile mapping: A psychological single-candidate authorship attribution method. PLOS ONE 2018;13(7):e0200588
    CrossRef
  16. Lyons M, Aksayli ND, Brewer G. Mental distress and language use: Linguistic analysis of discussion forum posts. Computers in Human Behavior 2018;87:207
    CrossRef
  17. Hswen Y, Naslund JA, Brownstein JS, Hawkins JB. Monitoring Online Discussions About Suicide Among Twitter Users With Schizophrenia: Exploratory Study. JMIR Mental Health 2018;5(4):e11483
    CrossRef
  18. Hswen Y, Naslund JA, Brownstein JS, Hawkins JB. Online Communication about Depression and Anxiety among Twitter Users with Schizophrenia: Preliminary Findings to Inform a Digital Phenotype Using Social Media. Psychiatric Quarterly 2018;89(3):569
    CrossRef
  19. Kim SJ, Marsch LA, Hancock JT, Das AK. Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data. Journal of Medical Internet Research 2017;19(10):e353
    CrossRef