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Machine learning-based classification of simple drawing movements in Parkinson's disease

  • Published:2017-01 Issue: Volume:31 Page:174-180
  • ISSN:1746-8094
  • Container-title:Biomedical Signal Processing and Control
  • language:en
  • Short-container-title:Biomedical Signal Processing and Control

Author:

Kotsavasiloglou C.,Kostikis N.ORCID,Hristu-Varsakelis D.,Arnaoutoglou M.

Publisher

Elsevier BV

Subject

Health Informatics,Signal Processing

Reference32 articles.

1. Incidence of Parkinson's disease: variation by age, gender, and race/ethnicity;Van Den Eeden;Am. J. Epidemiol.,2003

2. Accuracy of clinical diagnosis of idiopathic Parkinson's disease: a clinico-pathological study of 100 cases;Hughes;J. Neurol., Neurosurg. Psychiatry,1992

3. The accuracy of diagnosis of Parkinsonian syndromes in a specialist movement disorder service;Hughes;Brain,2002

4. What features improve the accuracy of clinical diagnosis in Parkinson's disease: a clinicopathological study 1992;Hughes;Neurology,2001

5. Assessing disability in movement disorders: quantitative techniques and rating scales;Pullman,2016

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