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

BACKGROUND: Linguistic analysis of publicly available Twitter feeds have achieved success in differentiating individuals who self-disclose online as having schizophrenia from healthy controls. To date, limited efforts have included expert input to evaluate the authenticity of diagnostic self-disclos...

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Detalles Bibliográficos
Autores principales: Birnbaum, Michael L, Ernala, Sindhu Kiranmai, Rizvi, Asra F, De Choudhury, Munmun, Kane, John M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2017
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575421/
https://www.ncbi.nlm.nih.gov/pubmed/28807891
http://dx.doi.org/10.2196/jmir.7956

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5575421/
https://www.ncbi.nlm.nih.gov/pubmed/28807891
http://dx.doi.org/10.2196/jmir.7956

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