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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: article
Language:EN
Published: Nature Portfolio 2018
Subjects:
Medicine
R
Science
Q
Online Access:https://doaj.org/article/f3f7a8e86fd34267bf9c85a913def857
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/f3f7a8e86fd34267bf9c85a913def857

Similar Items