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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2014-01-01
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| Series: | PLoS ONE |
| Online Access: | http://europepmc.org/articles/PMC3958413?pdf=render |