High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing-Reference-Cited by-同舟云学术

High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing

Published:2017-11-30 Issue:11 Volume:12 Page:e0188226
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Adams Warwick R.^ORCID

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference46 articles.

1. Parkinson’s Australia. Parkinson’s—Description, Incidence and Theories of Causation [Internet]. 2013 [cited 2017 Mar 9]. Available from: http://www.parkinsons.org.au/information_sheets

2. Improving Outcomes Through Early Diagnosis of Parkinson’s Disease;FL Pagán;Am J Manag Care,2012

3. Prediagnostic presentations of Parkinson’s disease in primary care: a case-control study;A Schrag;Lancet Neurol,2015

4. Ageing and Parkinson’s Disease: Substantia Nigra Regional Selectivity;JM Fearnley;Brain,1991

5. Kalman YM. HCI markers: A conceptual framework for using human-computer interaction data to detect disease processes. In: The 6th Mediterranean Conference on Information Systems (MCIS), Limassol, Cyprus. 2011.

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