Social Media Mining for Postpartum Depression Prediction.

machine learning mental health postpartum depression social media women’s health

Journal

Studies in health technology and informatics
ISSN: 1879-8365
Titre abrégé: Stud Health Technol Inform
Pays: Netherlands
ID NLM: 9214582

Informations de publication

Date de publication:
16 Jun 2020
Historique:
entrez: 24 6 2020
pubmed: 24 6 2020
medline: 20 8 2020
Statut: ppublish

Résumé

This study investigated the feasibility of a postpartum depression predictor based on social media writings. The current broad use of social media networks generates a large amount of digital data, which, when coupled with artificial intelligence methods, have the potential to disclose significant health related insights. In this paper we explore the use of machine learning for prediction of postpartum depression on a corpus created from Reddit posts.

Identifiants

pubmed: 32570674
pii: SHTI200457
doi: 10.3233/SHTI200457
doi:

Types de publication

Journal Article

Langues

eng

Pagination

1391-1392

Auteurs

Alina Trifan (A)

DETI/IEETA, University of Aveiro, Portugal.

Dave Semeraro (D)

Texas Advanced Computing Center, University of Texas at Austin, USA.

Justin Drake (J)

Texas Advanced Computing Center, University of Texas at Austin, USA.

Radek Bukowski (R)

Dell Medical School, University of Texas at Austin, USA.

José Luís Oliveira (JL)

DETI/IEETA, University of Aveiro, Portugal.

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Classifications MeSH