Machine Learning for Just-In-Time Adaptive Mental Health Interventions Using Smartwatch Data
Mental health challenges among college students are a growing concern, necessitating innovative tools for early detection and intervention. This study hypothesizes that predictive modeling of mood states from multivariate time-series data collected via mobile sensors can be enhanced by leveraging s...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/139002 |
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