Computer-aided diagnosis of Parkinson's disease using complex-valued neural networks and mRMR feature selection algorithm

Journal of Healthcare Engineering

Volumn 6, Issue 3, 2015, Pages 281-302

  Peker, Musa ^a   Şen, Baha ^b   Delen, Dursun ^c  

^a Inonu Industrial Vocational High School   (Turkey)

^b Yildirim Beyazit University   (Turkey)

^c OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

Classification; Complex valued neural network; Computer aided diagnosis; Mrmr feature selection method; Parkinson's disease

Indexed keywords

ALGORITHMS; ARCHITECTURAL ACOUSTICS; CLASSIFICATION (OF INFORMATION); COMPLEX NETWORKS; COMPUTER NETWORKS; DIAGNOSIS; FEATURE EXTRACTION; NEURAL NETWORKS; NEURODEGENERATIVE DISEASES;

COMPLEX-VALUED ARTIFICIAL NEURAL NETWORKS; COMPLEX-VALUED NEURAL NETWORKS; FEATURE SELECTION ALGORITHM; FEATURE SELECTION METHODS; MINIMUM REDUNDANCY-MAXIMUM RELEVANCES; NEUROLOGICAL DISORDERS; PARKINSON'S DISEASE; SOCIAL AND ECONOMIC IMPACTS;

COMPUTER AIDED DIAGNOSIS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; MACHINE LEARNING; MINIMUM REDUNDANCY MAXIMUM RELEVANCE; PARKINSON DISEASE; PHONATION; SOUND ANALYSIS; COMPUTER ASSISTED DIAGNOSIS; HUMAN;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEURAL NETWORKS (COMPUTER); PARKINSON DISEASE; PHONATION;

EID: 84958643361     PISSN: 20402295     EISSN: 20402309     Source Type: Journal    
DOI: 10.1260/2040-2295.6.3.281     Document Type: Article

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