Model-based and Model-free Machine Learning Techniques for Diagnostic Prediction and Classification of Clinical Outcomes in Parkinson’s Disease-Reference-Cited by-同舟云学术

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

Published:2018-05-08 Issue:1 Volume:8 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Gao Chao,Sun Hanbo,Wang Tuo,Tang Ming,Bohnen Nicolaas I.,Müller Martijn L. T. M.^ORCID,Herman Talia,Giladi Nir,Kalinin Alexandr^ORCID,Spino Cathie,Dauer William,Hausdorff Jeffrey M.,Dinov Ivo D.

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Link

http://www.nature.com/articles/s41598-018-24783-4.pdf

Reference58 articles.

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3. Okuma, Y., de Lima, A. L. S., Fukae, J., Bloem, B. R. & Snijders, A. H. A prospective study of falls in relation to freezing of gait and response fluctuations in Parkinson’s disease. Parkinsonism & related disorders 46, 30–35 (2018).

4. Bloem, B. R., Grimbergen, Y. A., Cramer, M., Willemsen, M. & Zwinderman, A. H. Prospective assessment of falls in Parkinson’s disease. Journal of neurology 248, 950–958 (2001).

5. Hughes, A. J., Daniel, S. E., Blankson, S. & Lees, A. J. A clinicopathologic study of 100 cases of Parkinson’s disease. Arch Neurol 50, 140–148 (1993).

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