Random forests based monitoring of human larynx using questionnaire data

Expert Systems with Applications

Volumn 39, Issue 5, 2012, Pages 5506-5512

  Bacauskiene, M ^b   Verikas, A ^a,b   Gelzinis, A ^b   Vegiene, A ^c  

^a HALMSTAD UNIVERSITY   (Sweden)

^b KAUNAS UNIVERSITY OF TECHNOLOGY   (Lithuania)

^c KAUNAS UNIVERSITY OF MEDICINE   (Lithuania)

Author keywords

Classifier; Data proximity; Human larynx; Random forests; Variable importance; Variable selection

Indexed keywords

DATA PROXIMITY; HUMAN LARYNX; RANDOM FORESTS; VARIABLE IMPORTANCE; VARIABLE SELECTION;

CLASSIFIERS; DECISION TREES; FORESTRY; HEALTH CARE; HEALTH RISKS; PATIENT MONITORING; SOFT COMPUTING; SURVEYS;

CLASSIFICATION (OF INFORMATION);

CLASSIFICATION; CLASSIFIERS; COMPUTATION; FORESTRY; INFORMATION RETRIEVAL; SURVEYS;

EID: 84855868516     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.11.070     Document Type: Article

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