Using partial decision trees to predict Parkinson’s symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson’s disease-Reference-Cited by-同舟云学术

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Using partial decision trees to predict Parkinson’s symptoms: A new approach for diagnosis and therapy in patients suffering from Parkinson’s disease

Published:2012-02 Issue:2 Volume:42 Page:195-204
ISSN:0010-4825
Container-title:Computers in Biology and Medicine
language:en
Short-container-title:Computers in Biology and Medicine

Author:

Exarchos Themis P.,Tzallas Alexandros T.,Baga Dina,Chaloglou Dimitra,Fotiadis Dimitrios I.,Tsouli Sofia,Diakou Maria,Konitsiotis Spyros

Funder

European Commission

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications

Reference34 articles.

1. A fuzzy rule-based decision support system for Duodopa treatment in Parkinson's disease;Westin;Eur. J. Neurol.,2006

2. Quantitative measurement of handwriting in the assessment of drug-induced parkinsonism;Caligiuri;Hum. Movment Sci.,2006

3. On the use of low-cost computer peripherals for the assessment of motor dysfunction in Parkinson's disease—quantification of bradykinesia using target tracking tasks;Allen;IEEE Trans. Neural Syst. Rehabil. Eng.,2007

4. Clinical assessment of motor function: a processes oriented instrument based on a speed-accuracy trade-off paradigm;Christe;Behav. Neurol.,2007

5. Levodopa-induced dyskinesias detection based on the complexity of involuntary movements;Chelaru;J. Neurosc. Methods,2010

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