The mPower study, Parkinson disease mobile data collected using ResearchKit-Reference-Cited by-同舟云学术

The mPower study, Parkinson disease mobile data collected using ResearchKit

Published:2016-03-03 Issue:1 Volume:3 Page:
ISSN:2052-4463
Container-title:Scientific Data
language:en
Short-container-title:Sci Data

Author:

Bot Brian M.^ORCID,Suver Christine^ORCID,Neto Elias Chaibub,Kellen Michael,Klein Arno,Bare Christopher,Doerr Megan,Pratap Abhishek,Wilbanks John,Dorsey E. Ray,Friend Stephen H.,Trister Andrew D.

Publisher

Springer Science and Business Media LLC

Subject

Library and Information Sciences,Statistics, Probability and Uncertainty,Computer Science Applications,Education,Information Systems,Statistics and Probability

Link

http://www.nature.com/articles/sdata201611.pdf

Reference16 articles.

1. Trister, A. D. et al. Smartphones as new tools in the management and understanding of Parkinson's disease. npj Parkinson's Disease 2, 16006 doi:10.1038/npjparkd.2016.6 (2016).

2. Jenkinson, C., Fitzpatrick, R., Peto, V., Greenhall, R. & Hyman, N. The PDQ-8: development and validation of a short-form parkinson's disease questionnaire. Psychol. Health 12, 805–814 (1997).

3. Goetz, C. et al. Movement Disorder Society-sponsored revision of the Unified Parkinson's Disease Rating Scale (MDS-UPDRS): Scale presentation and clinimetric testing results. Movement Disord. 23, 2129–2170 (2008).

4. Derry, J. M. J. et al. Developing predictive molecular maps of human disease through community-based modeling. Nat. Gen. 44, 127–130 (2012).

5. Omberg, L. et al. Enabling transparent and collaborative computational analysis of 12 tumor types within The Cancer Genome Atlas. Nat. Gen. 45, 1121–1126 (2013).

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