Enhanced cancer recognition system based on random forests feature elimination algorithm

Journal of Medical Systems

Volumn 36, Issue 4, 2012, Pages 2577-2585

  Ozcift, Akin ^a  

^a GAZIANTEP UNIVERSITY   (Turkey)

Author keywords

Cancer diagnosis; Classifier performance; Feature selection; High dimensional dataset; Random forests

Indexed keywords

ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER DIAGNOSIS; COLON CANCER; COMPUTER AIDED DESIGN; FALSE NEGATIVE RESULT; FALSE POSITIVE RESULT; GENE EXPRESSION; K FOLD CROSS VALIDATION; KAPPA STATISTICS; LEUKEMIA; LUNG CANCER; RANDOM FOREST; ROOT MEAN SQUARE ERROR; STATISTICAL ANALYSIS; ALGORITHM; COMPUTER ASSISTED DIAGNOSIS; DECISION TREE; HUMAN; METHODOLOGY; NEOPLASM;

ALGORITHMS; DECISION TREES; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; NEOPLASMS;

EID: 84873030140     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-011-9730-1     Document Type: Article

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