RHMCD-20 dataset: Identify rapid human mental health depression during quarantine life using machine learning

RHMCD-20 dataset: Identify rapid human mental health depression during quarantine life using machine learning

The RHMCD-20 dataset offers a thorough investigation of the dynamics of mental health in Bangladesh while under quarantine. The structured survey that was distributed to different demographic groups yielded a dataset that included a wide range of variables, such as age, gender, occupation, and stres...

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Bibliographic Details
Main Authors: Nazrul Amin, Imrus Salehin, Md. Abu Baten, Rabbi Al Noman
Format: Article
Language:English
Published: Elsevier 2024-06-01
Series:Data in Brief
Subjects:
Mental health
Machine learning
COVID-19 quarantine
Isolation effects
Online Access:http://www.sciencedirect.com/science/article/pii/S2352340924003457

Internet

http://www.sciencedirect.com/science/article/pii/S2352340924003457

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