A new hybrid method based on fuzzy-artificial immune system and k-nn algorithm for breast cancer diagnosis

Computers in Biology and Medicine

Volumn 37, Issue 3, 2007, Pages 415-423

  Şahan, Seral ^a   Polat, Kemal ^a   Kodaz, Halife ^a   Güneş, Salih ^a  

^a SELCUK UNIVERSITY   (Turkey)

Author keywords

Artificial immune systems; Breast cancer diagnosis; Fuzzy weighting; k Fold cross validation; k Nearest neighbour classification system; Wisconsin Breast Cancer Diagnosis Data

Indexed keywords

ALGORITHMS; DISEASES; FUZZY SETS; IMMUNOLOGY; LEARNING SYSTEMS; ONCOLOGY; TUMORS;

ARTIFICIAL IMMUNE SYSTEMS; BREAST CANCER DIAGNOSIS; FUZZY WEIGHTING; K-FOLD CROSS VALIDATION; K-NEAREST NEIGHBOR CLASSIFICATION SYSTEMS; WISCONSIN BREAST CANCER DIAGNOSIS DATA;

COMPUTER AIDED DIAGNOSIS;

ACCURACY; ALGORITHM; ARTICLE; ARTIFICIAL IMMUNE SYSTEM; BREAST CANCER; CANCER INCIDENCE; CLASSIFICATION; DATA ANALYSIS; EVALUATION; FUZZY SYSTEM; HYBRID; IMMUNE SYSTEM; K NEAREST NEIGHBOR; MACHINE LEARNING; MATHEMATICAL MODEL; MEDICAL EXPERT; METHODOLOGY; PRIORITY JOURNAL; RECOGNITION; TECHNIQUE; VALIDATION PROCESS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOPSY, NEEDLE; BREAST; BREAST NEOPLASMS; DATA COLLECTION; DECISION MAKING, COMPUTER-ASSISTED; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FUZZY LOGIC; HUMANS; IMMUNE SYSTEM; REGISTRIES; SOFTWARE;

EID: 33846014233     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2006.05.003     Document Type: Article

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