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

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 (F1000 Research Ltd, 2022)

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 ...

COVID-19 pandemic: Does musicianship matter?

Ulgen, Margorit Rita Krespi; Küpana, Mürvet Nevra; Altunbek, Hanife Başak (SAGE PUBLICATIONS INC, 2022)

The COVID-19 pandemic negatively influenced mental health and the music industry. The present study examined the relationship of between personality traits and emotional regulation with emotional problems and compared this ...