Hepatitis disease diagnosis using a novel hybrid method based on support vector machine and simulated annealing (SVM-SA)

Computer Methods and Programs in Biomedicine

Volumn 108, Issue 2, 2012, Pages 570-579

  Sartakhti, Javad Salimi ^a   Zangooei, Mohammad Hossein ^a   Mozafari, Kourosh ^a  

^a TARBIAT MODARES UNIVERSITY   (Iran)

Author keywords

Hepatitis disease diagnosis; Machine learning approach; Parameters tuning; SA; SVM

Indexed keywords

DISEASE DIAGNOSIS; LEARNING APPROACH; PARAMETERS TUNING; SA; SVM;

SIMULATED ANNEALING; SUPPORT VECTOR MACHINES;

DIAGNOSIS;

ACCURACY; ARTICLE; BAYESIAN LEARNING; CLINICAL CLASSIFICATION; DATA PROCESSING; DISCRIMINANT ANALYSIS; FUZZY SYSTEM; HEPATITIS; HUMAN; LEARNING ALGORITHM; MACHINE LEARNING; SIMULATED ANNEALING; SUPPORT VECTOR MACHINE;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; CHILD; COMPUTER SIMULATION; FEMALE; HEPATITIS, VIRAL, HUMAN; HUMANS; MALE; MIDDLE AGED; SUPPORT VECTOR MACHINES;

EID: 84867404131     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2011.08.003     Document Type: Article

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