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A deep learning approach for prediction of Parkinson’s disease progression
This paper proposes a deep neural network (DNN) model using the reduced input feature space of Parkinson’s telemonitoring dataset to predict Parkinson’s disease (PD) progression. PD is a chronic and progressive nervous system disorder that affects body movement. PD is assessed by using the unified P...
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| 出版年: | Biomed Eng Lett |
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| 主要な著者: | , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
The Korean Society of Medical and Biological Engineering
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7235154/ https://ncbi.nlm.nih.gov/pubmed/32477610 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13534-020-00156-7 |
| タグ: |
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