"Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic- a cross-sectional regional study.pdf" by Radwan Qasrawi

Article

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

F1000Research (2022)

Radwan Qasrawi
Malak Amro
Stephanny VicunaPolo
Diala Abu Al-Halawa
Hazem Agha
Rania Abu Seir
Maha Hoteit
Reem Hoteit
Sabika Allehdan
Nouf Behzad
Khlood Bookari
Majid AlKhalaf
Haleama Al Sabbah, Zayed University
Eman Badran
Reema Tayyem

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Disciplines

Medicine and Health Sciences

Publication Date

Spring April 4, 2022

DOI

https://doi.org/10.12688/f1000research.110090.1

Citation Information

Radwan Qasrawi, Malak Amro, Stephanny VicunaPolo, Diala Abu Al-Halawa, et al.. "Machine learning techniques for predicting depression and anxiety in pregnant and postpartum women during the COVID-19 pandemic- a cross-sectional regional study.pdf" F1000Research (2022)
Available at: http://works.bepress.com/haleama-alsabbah/39/