Monitoring Substance Use with Fitbit Biosignals: A Case Study on Training Deep Learning Models Using Ecological Momentary Assessments and Passive Sensing
Substance use disorders affect 17.3% of Americans. Digital health solutions that use machine learning to detect substance use from wearable biosignal data can eventually pave the way for real-time digital interventions. However, difficulties in addressing severe between-subject data heterogeneity ha...
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| Hlavní autoři: | , , , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
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MDPI AG
2024-12-01
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| Edice: | AI |
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| On-line přístup: | https://www.mdpi.com/2673-2688/5/4/131 |
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