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Identifying the Clusters within Nonmotor Manifestations in Early Parkinson's Disease by Using Unsupervised Cluster Analysis
BACKGROUND: Classical and data-driven classifications of Parkinson's disease (PD) are based primarily on motor symptoms, with little attention being paid to the clustering of nonmotor manifestations. METHODS: Clinical data on demographic, motor and nonmotor features, including the Korean versio...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3958413/ https://ncbi.nlm.nih.gov/pubmed/24643014 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0091906 |
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