Overcoming Data Loss in Wearable Disease Detection with GAN-Based Imputation
Abstract High rates of missing data in wearable sensor streams hinder early detection of infectious diseases, especially in low-resource settings with inconsistent device adherence and connectivity. We developed a lightweight generative adversarial network (GAN) framework that imputes missing heart...
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| Główni autorzy: | , , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
Nature Portfolio
2026-03-01
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| Seria: | npj Digital Medicine |
| Dostęp online: | https://doi.org/10.1038/s41746-026-02518-4 |
| Etykiety: |
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