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

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 predictive models...

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Detalles Bibliográficos
Autores principales: Gao, Chao, Sun, Hanbo, Wang, Tuo, Tang, Ming, Bohnen, Nicolaas I., Müller, Martijn L. T. M., Herman, Talia, Giladi, Nir, Kalinin, Alexandr, Spino, Cathie, Dauer, William, Hausdorff, Jeffrey M., Dinov, Ivo D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940671/
https://www.ncbi.nlm.nih.gov/pubmed/29740058
http://dx.doi.org/10.1038/s41598-018-24783-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5940671/
https://www.ncbi.nlm.nih.gov/pubmed/29740058
http://dx.doi.org/10.1038/s41598-018-24783-4

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