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Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models
Machine learning algorithms that use data streams captured from soft wearable sensors have the potential to automatically detect PD symptoms and inform clinicians about the progression of disease. However, these algorithms must be trained with annotated data from clinical experts who can recognize s...
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| Pubblicato in: | NPJ Digit Med |
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| Autori principali: | , , , , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Publishing Group UK
2018
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6550186/ https://ncbi.nlm.nih.gov/pubmed/31304341 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41746-018-0071-z |
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