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...

Descripción completa

Detalles Bibliográficos
Autores principales: Yang, Hui-Jun, Kim, Young Eun, Yun, Ji Young, Kim, Han-Joon, Jeon, Beom Seok
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958413/
https://www.ncbi.nlm.nih.gov/pubmed/24643014
http://dx.doi.org/10.1371/journal.pone.0091906

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3958413/
https://www.ncbi.nlm.nih.gov/pubmed/24643014
http://dx.doi.org/10.1371/journal.pone.0091906

Ejemplares similares