A quantifier-based fuzzy classification system for breast cancer patients

Artificial Intelligence in Medicine

Volumn 58, Issue 3, 2013, Pages 175-184

  Soria, Daniele ^a   Garibaldi, Jonathan M ^a   Green, Andrew R ^a   Powe, Desmond G ^b   Nolan, Christopher C ^a   Lemetre, Christophe ^c   Ball, Graham R ^c   Ellis, Ian O ^a  

^a UNIVERSITY OF NOTTINGHAM   (United Kingdom)

^b NOTTINGHAM UNIVERSITY HOSPITALS NHS TRUST   (United Kingdom)

^c NOTTINGHAM TRENT UNIVERSITY   (United Kingdom)

Author keywords

Breast cancer; Fuzzy rules; Linguistic ruleset; Rule based classification

Indexed keywords

BREAST CANCER; CLUSTERING TECHNIQUES; FUZZY CLASSIFICATION SYSTEMS; FUZZY QUANTIFICATION; FUZZY RULE-BASED SYSTEMS; IMMUNOHISTOCHEMICAL ANALYSIS; RULE-BASED CLASSIFICATION; UNSUPERVISED CLASSIFICATION;

ALGORITHMS; DISEASES; FUZZY RULES; LINGUISTICS;

CLASSIFICATION (OF INFORMATION);

CYTOKERATIN 5; CYTOKERATIN 6; CYTOKERATIN 7; CYTOKERATIN 8; EPIDERMAL GROWTH FACTOR RECEPTOR; EPIDERMAL GROWTH FACTOR RECEPTOR 2; EPIDERMAL GROWTH FACTOR RECEPTOR 3; EPIDERMAL GROWTH FACTOR RECEPTOR 4; ESTROGEN RECEPTOR; MUCIN 1; PROGESTERONE RECEPTOR; PROTEIN P53;

ALGORITHM; ARTICLE; BREAST CANCER; CANCER CLASSIFICATION; CANCER PATIENT; CONSENSUS; FUZZY SYSTEM; GENE EXPRESSION PROFILING; HUMAN; METHODOLOGY; PHENOTYPE; PRIORITY JOURNAL;

BREAST CANCER; FUZZY RULES; LINGUISTIC RULESET; RULE-BASED CLASSIFICATION;

ALGORITHMS; BREAST NEOPLASMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FUZZY LOGIC; HUMANS; IMMUNOHISTOCHEMISTRY; PATTERN RECOGNITION, AUTOMATED; PHENOTYPE; PREDICTIVE VALUE OF TESTS; PROGNOSIS; REPRODUCIBILITY OF RESULTS; TUMOR MARKERS, BIOLOGICAL;

EID: 84880047077     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2013.04.006     Document Type: Article

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