Machine Learning Models for Diagnosis of Parkinson’s Disease Using Multiple Structural Magnetic Resonance Imaging Features

PURPOSE: This study aimed to develop machine learning models for the diagnosis of Parkinson’s disease (PD) using multiple structural magnetic resonance imaging (MRI) features and validate their performance. METHODS: Brain structural MRI scans of 60 patients with PD and 56 normal controls (NCs) were...

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Detalles Bibliográficos
Autores principales: Ya, Yang, Ji, Lirong, Jia, Yujing, Zou, Nan, Jiang, Zhen, Yin, Hongkun, Mao, Chengjie, Luo, Weifeng, Wang, Erlei, Fan, Guohua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Aging Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043762/
https://www.ncbi.nlm.nih.gov/pubmed/35493923
http://dx.doi.org/10.3389/fnagi.2022.808520

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9043762/
https://www.ncbi.nlm.nih.gov/pubmed/35493923
http://dx.doi.org/10.3389/fnagi.2022.808520

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