Cargando…
Accuracy of Machine Learning Using the Montreal Cognitive Assessment for the Diagnosis of Cognitive Impairment in Parkinson’s Disease
OBJECTIVE: The Montreal Cognitive Assessment (MoCA) is recommended for assessing general cognition in Parkinson’s disease (PD). Several cutoffs of MoCA scores for diagnosing PD with cognitive impairment (PD-CI) have been proposed, with varying sensitivity and specificity. This study investigated the...
Autores principales: | Jeon, Junbeom, Kim, Kiyong, Baek, Kyeongmin, Chung, Seok Jong, Yoon, Jeehee, Kim, Yun Joong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Korean Movement Disorder Society
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9171310/ https://www.ncbi.nlm.nih.gov/pubmed/35670022 http://dx.doi.org/10.14802/jmd.22012 |
Ejemplares similares
-
The Protein-Protein Interaction Network of Hereditary Parkinsonism Genes Is a Hierarchical Scale-Free Network
por: Kim, Yun Joong, et al.
Publicado: (2022) -
PhenGenVar: A User-Friendly Genetic Variant Detection and Visualization Tool for Precision Medicine
por: Shin, JaeMoon, et al.
Publicado: (2022) -
Application of the Chinese Version of the Montreal Cognitive Assessment-Basic for Assessing Mild Cognitive Impairment in Parkinson’s Disease
por: Xu, Qian, et al.
Publicado: (2021) -
Accuracy of the Short-Form Montreal Cognitive Assessment Chinese Versions
por: Tan, Ji-ping, et al.
Publicado: (2021) -
Montreal cognitive assessment reflects cognitive reserve
por: Kang, Jae Myeong, et al.
Publicado: (2018)