Explainable AI-Based Identification of Contributing Factors to the Mood State Change in Children and Adolescents with Pre-Existing Psychiatric Disorders in the Context of COVID-19-Related Lockdowns in Greece

Explainable AI-Based Identification of Contributing Factors to the Mood State Change in Children and Adolescents with Pre-Existing Psychiatric Disorders in the Context of COVID-19-Related Lockdowns in Greece

The COVID-19 pandemic and its accompanying restrictions have significantly impacted people’s lives globally. There is an increasing interest in examining the influence of this unprecedented situation on our mental well-being, with less attention towards the impact of the elongation of COVID-19-relat...

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Bibliographic Details
Main Authors: Charis Ntakolia, Dimitrios Priftis, Konstantinos Kotsis, Konstantina Magklara, Mariana Charakopoulou-Travlou, Ioanna Rannou, Konstantina Ladopoulou, Iouliani Koullourou, Emmanouil Tsalamanios, Eleni Lazaratou, Aspasia Serdari, Aliki Grigoriadou, Neda Sadeghi, Kenny Chiu, Ioanna Giannopoulou
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:BioMedInformatics
Subjects:
COVID-19 pandemic
mental health
machine learning
explainability
children and adolescents
Online Access:https://www.mdpi.com/2673-7426/3/4/62

Internet

https://www.mdpi.com/2673-7426/3/4/62

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