Early Detection of Depression: Social Network Analysis and Random Forest Techniques

BACKGROUND: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, which can potentially reduce the escalation of the disorder. OBJECTIVE: This study used da...

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Detalles Bibliográficos
Autores principales: Cacheda, Fidel, Fernandez, Diego, Novoa, Francisco J, Carneiro, Victor
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598420/
https://www.ncbi.nlm.nih.gov/pubmed/31199323
http://dx.doi.org/10.2196/12554

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6598420/
https://www.ncbi.nlm.nih.gov/pubmed/31199323
http://dx.doi.org/10.2196/12554

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