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Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine Learning

2023-02-26

Abstract excerpt

Childhood mental health disorders such as anxiety, depression, and ADHD are commonly-occurring and often go undetected into adolescence or adulthood. This can lead to detrimental impacts on long-term wellbeing and quality of life. Current parent-report assessments for pre-school aged children are often biased, and thus increase the need for objective mental health screening tools. Leveraging digital tools to ident...

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Literature Corpus work
ed2c0db2-d9f8-5c96-af45-a03f74b84548
DOI
10.1101/2023.02.24.23286417
Open publication

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Toward Digital Phenotypes of Early Childhood Mental Health via Unsupervised and Supervised Machine LearningDOI 10.1101/2023.02.24.23286417
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