Article

Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College Students

2024-02-21

Abstract excerpt

<title>Abstract</title> <p><bold>Background:</bold> A better understanding of the structure of relations among insomnia and anxiety, mood, eating, and alcohol-use disorders is needed, given its prevalence among young adults. Supervised machine learning provides the ability to evaluate the discriminative accuracy of psychiatric disorders associated with insomnia. Combined with Bayesian network analysis, the direct...

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Literature Corpus work: f6ab3d51-7ec7-590f-92db-debdc11e4b6f
DOI: 10.21203/rs.3.rs-3944417/v1

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Machine Learning and Bayesian Network Analyses Identifies Psychiatric Disorders and Symptom Associations with Insomnia in a national sample of 31,285 Treatment-Seeking College StudentsDOI 10.21203/rs.3.rs-3944417/v1Read

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