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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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| 出版年: | NPJ Digit Med |
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| 主要な著者: | , , , , , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Nature Publishing Group UK
2018
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| 主題: | |
| オンライン・アクセス: | 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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