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Insight into an unsupervised two-step sparse transfer learning algorithm for speech diagnosis of Parkinson’s disease
Speech diagnosis of Parkinson’s disease (PD) as a non-invasive and simple diagnosis method is particularly worth exploring. However, the number of samples of speech-based PD is relatively small, and there exist discrepancies in the distribution between subjects. In order to solve the two problems, a...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Springer London
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7871026/ https://www.ncbi.nlm.nih.gov/pubmed/33584015 http://dx.doi.org/10.1007/s00521-021-05741-0 |