ArticleDepression and anxiety2025
Machine Learning Models to Identify Clinically Significant Anxiety in Short-Term Insomnia Using Accelerometers.
Article in Depression and anxiety, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Clinically significant anxiety (CSA) is common in individuals with short-term insomnia. This study aims to explore the relationship between CSA and the subjective and objective parameters of sleep in patients with short-term insomnia and construct machine learning (ML) models to determine the utility of accelerometer features in identifying significant anxiety. A total of 205 short-term insomnia participants from China were assigned to the group with CSA (
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