Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease

Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease

Abstract In this study, we apply a multidisciplinary approach to investigate falls in PD patients using clinical, demographic and neuroimaging data from two independent initiatives (University of Michigan and Tel Aviv Sourasky Medical Center). Using machine learning techniques, we construct predicti...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Chao Gao, Hanbo Sun, Tuo Wang, Ming Tang, Nicolaas I. Bohnen, Martijn L. T. M. Müller, Talia Herman, Nir Giladi, Alexandr Kalinin, Cathie Spino, William Dauer, Jeffrey M. Hausdorff, Ivo D. Dinov
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2018
Materias:
Medicine
R
Science
Q
Acceso en línea:https://doaj.org/article/f3f7a8e86fd34267bf9c85a913def857
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!

Internet

https://doaj.org/article/f3f7a8e86fd34267bf9c85a913def857

Ejemplares similares