Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic: a cross-sectional regional study

Background: Maternal depression and anxiety are significant public health concerns that play an important role in the health and well-being of mothers and children. The COVID-19 pandemic, the consequential lockdowns and related safety restrictions worldwide negatively affected the mental health of p...

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Detalles Bibliográficos
Autores principales: Qasrawi, Radwan, Amro, Malak, VicunaPolo, Stephanny, Abu Al-Halawa, Diala, Agha, Hazem, Abu Seir, Rania, Hoteit, Maha, Hoteit, Reem, Allehdan, Sabika, Behzad, Nouf, Bookari, Khlood, AlKhalaf, Majid, Al-Sabbah, Haleama, Badran, Eman, Tayyem, Reema
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445566/
https://www.ncbi.nlm.nih.gov/pubmed/36111217
http://dx.doi.org/10.12688/f1000research.110090.1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9445566/
https://www.ncbi.nlm.nih.gov/pubmed/36111217
http://dx.doi.org/10.12688/f1000research.110090.1

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