Disease Diagnosis with a hybrid method SVR using NSGA-II

Neurocomputing

Volumn 136, Issue , 2014, Pages 14-29

  Zangooei, Mohammad Hossein ^a   Habibi, Jafar ^a   Alizadehsani, Roohallah ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Disease diagnosis; Machine learning; Multi objective genetic algorithm; Support vector regression

Indexed keywords

DATA MINING; GENETIC ALGORITHMS; LEARNING SYSTEMS; MACHINE LEARNING; SUPPORT VECTOR REGRESSION;

CLASSIFICATION MODELS; COMPETITIVE PERFORMANCE; DISEASE DIAGNOSIS; MACHINE-LEARNING DATABASE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; MULTI-OBJECTIVE GENETIC ALGORITHM; NON DOMINATED SORTING GENETIC ALGORITHM II (NSGA II); SUPPORT VECTOR REGRESSION (SVR);

COMPUTER AIDED DIAGNOSIS;

ARTICLE; BREAST CANCER; COMPUTER PREDICTION; DIABETES MELLITUS; DIAGNOSIS; EVOLUTIONARY ALGORITHM; HEPATITIS; INTERMETHOD COMPARISON; LIVER DISEASE; MACHINE LEARNING; NONDOMINATED SORTING GENETIC ALGORITHM; PRIORITY JOURNAL; SUPPORT VECTOR MACHINE;

EID: 84897964825     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2014.01.042     Document Type: Article

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