SVM feature selection based rotation forest ensemble classifiers to improve computer-Aided diagnosis of Parkinson disease

Journal of Medical Systems

Volumn 36, Issue 4, 2012, Pages 2141-2147

  Ozcift, Akin ^a  

^a GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Breast cancer; Computer aided diagnosis; Diabetes; Ensemble classification; Feature selection; Parkinson; Rotation forest; Support vector machine

Indexed keywords

ARTICLE; CLASSIFICATION ALGORITHM; CLASSIFIER; CLINICAL ARTICLE; CLINICAL CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; DIAGNOSTIC ACCURACY; HUMAN; KAPPA STATISTICS; PARKINSON DISEASE; RECEIVER OPERATING CHARACTERISTIC; SUPPORT VECTOR MACHINE; ALGORITHM; CLASSIFICATION; METHODOLOGY;

ALGORITHMS; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; PARKINSON DISEASE; SUPPORT VECTOR MACHINES;

EID: 84873048938     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9678-1     Document Type: Article

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