A random forest classifier for lymph diseases

Computer Methods and Programs in Biomedicine

Volumn 113, Issue 2, 2014, Pages 465-473

  Azar, Ahmad Taher ^a   Elshazly, Hanaa Ismail ^b,c   Hassanien, Aboul Ella ^b,c   Elkorany, Abeer Mohamed ^b  

^a Benha University   (Egypt)

^b Cairo University   (Egypt)

^c Scientific Research Group in Egypt (SRGE)   (Egypt)

Author keywords

Feature selection (FS); Genetic algorithm (GA); Lymph diseases; Machine learning (ML); Random forest classifier (RFC)

Indexed keywords

DECISION MAKING; DECISION TREES; FEATURE EXTRACTION; GENETIC ALGORITHMS; MACHINE LEARNING; RANDOM FORESTS;

CLASSIFICATION ACCURACY; CLASSIFICATION PERFORMANCE; CLASSIFICATION TECHNIQUE; DATA DIMENSIONALITY; DECISION MAKING PROCESS; FLOATING SEARCHES; MODEL CONSTRUCTION; RANDOM FOREST CLASSIFIER;

COMPUTER AIDED DIAGNOSIS;

ACCURACY; AREA UNDER THE CURVE; ARTICLE; CLASSIFIER; GENETIC ALGORITHM; KAPPA STATISTICS; LYMPHATIC SYSTEM DISEASE; PREDICTIVE VALUE; PRINCIPAL COMPONENT ANALYSIS; RANDOM FOREST; RANDOM FOREST CLASSIFIER; RECEIVER OPERATING CHARACTERISTIC; SENSITIVITY AND SPECIFICITY; SEQUENTIAL BACKWARD FLOATING SEARCH; SEQUENTIAL FORWARD FLOATING SEARCH;

FEATURE SELECTION (FS); GENETIC ALGORITHM (GA); LYMPH DISEASES; MACHINE LEARNING (ML); RANDOM FOREST CLASSIFIER (RFC);

ALGORITHMS; ARTIFICIAL INTELLIGENCE; HUMANS; LYMPHATIC DISEASES; PRINCIPAL COMPONENT ANALYSIS;

EID: 84892819576     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2013.11.004     Document Type: Article

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