Effective detection of Parkinson's disease using an adaptive fuzzy k-nearest neighbor approach

Biomedical Signal Processing and Control

Volumn 8, Issue 4, 2013, Pages 364-373

  Zuo, Wan Li ^a   Wang, Zhi Yan ^a   Liu, Tong ^a   Chen, Hui Ling ^b  

^a JILIN UNIVERSITY   (China)

^b WENZHOU UNIVERSITY   (China)

Author keywords

Feature selection; Fuzzy k nearest neighbor method; Medical diagnosis; Parkinson's disease; Particle swarm optimization

Indexed keywords

CLASSIFICATION (OF INFORMATION); DIAGNOSIS; FEATURE EXTRACTION; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH; NEURODEGENERATIVE DISEASES; PARTICLE SIZE ANALYSIS;

10-FOLD CROSS-VALIDATION; CLASSIFICATION ACCURACY; FUZZY K NEAREST NEIGHBOR (FKNN); NEIGHBORHOOD SIZE; PARAMETER OPTIMIZATION; PARKINSON'S DISEASE; RECEIVER OPERATING CHARACTERISTIC CURVES; STRENGTH PARAMETERS;

PARTICLE SWARM OPTIMIZATION (PSO);

ACCELERATION; ADULT; AGED; ARTICLE; CLASSIFIER; COMPARATIVE STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC PROCEDURE; FUZZY K NEAREST NEIGHBOR; FUZZY SYSTEM; HUMAN; K NEAREST NEIGHBOR; PARKINSON DISEASE; PRIORITY JOURNAL; SENSITIVITY AND SPECIFICITY; THERAPY EFFECT; VELOCITY;

EID: 85027954695     PISSN: 17468094     EISSN: 17468108     Source Type: Journal    
DOI: 10.1016/j.bspc.2013.02.006     Document Type: Article

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