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Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019

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dc.contributor.author Moon, Nazmun Nessa
dc.contributor.author Hossain, Refath Ara
dc.contributor.author Jahan, Israt
dc.contributor.author Shakil, Shahriar
dc.contributor.author Uddin, Shihab
dc.contributor.author Hassan, Mahmudul
dc.contributor.author Nu, Fernaz Narin
dc.date.accessioned 2023-08-27T12:03:23Z
dc.date.available 2023-08-27T12:03:23Z
dc.date.issued 22-06-18
dc.identifier.issn 2088-8708
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11081
dc.description.abstract The novel coronavirus disease 2019 (COVID-19) current pandemic is a worldwide health emergency like no other. It is not the only COVID-19 infection in infants, children, and adolescents that is causing concern among their families and professionals; there are also other serious issues that must be carefully detected and addressed. Major things are identified due to COVID-19, some elements are affecting children’s healthcare in direct or indirect ways, affecting them not just from a medical standpoint but also from social, psychological, economic, and educational perspectives. All these factors may have affected children’s mental development, particularly in rural settings. As Bangladesh faces a major challenge such as a lack of public mental health facilities, especially in rural areas. So, we discovered a method to predict the mental development condition of rural children that they are facing at this time of COVID-19 using machine learning technology. This research work can predict whether a rural child is mentally developed or mentally hampered in Bangladesh and this prediction gives nice feedback. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject COVID-19 en_US
dc.subject Machine Learning en_US
dc.subject Algorithms en_US
dc.title Predicting the Mental Health of Rural Bangladeshi Children in Coronavirus Disease 2019 en_US
dc.type Article en_US


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