Accurately predicting mood episodes in mood disorder patients using wearable sleep and circadian rhythm features
Abstract Wearable devices enable passive collection of sleep, heart rate, and step-count data, offering potential for mood episode prediction in mood disorder patients. However, current models often require various data types, limiting real-world application. Here, we develop models that predict fut...
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| Principais autores: | , , , , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Nature Portfolio
2024-11-01
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| Serija: | npj Digital Medicine |
| Online dostop: | https://doi.org/10.1038/s41746-024-01333-z |
| Oznake: |
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