A fuzzy logic based-method for prognostic decision making in breast and prostate cancers

IEEE Transactions on Information Technology in Biomedicine

Volumn 7, Issue 2, 2003, Pages 114-122

  Seker, Huseyin ^a   Odetayo, Michael O ^a   Petrovic, Dobrila ^a   Naguib, Raouf N G ^a  

^a Institute for Clean Growth and Future Mobility   (United Kingdom)

Author keywords

Artificial neural networks (ANNs); Feature selection; Fuzzy k nearest neighbor (FK NN); Histological assessment; Logistic regression (LR); Nodal involvement; Oncology; Pattern classification; Survival analysis

Indexed keywords

ALGORITHMS; DECISION MAKING; FEATURE EXTRACTION; NEURAL NETWORKS; ONCOLOGY; PATIENT TREATMENT; REGRESSION ANALYSIS; STATISTICAL METHODS; SURGERY;

BREAST CANCERS; FEATURE SELECTION; HISTOLOGICAL ASSESSMENT; LOGISTIC REGRESSION; PROGNOSTIC DECISION MAKING; PROSTATE CANCERS; SURVIVAL ANALYSIS;

FUZZY SETS;

TUMOR MARKER;

AGED; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BREAST TUMOR; CLASSIFICATION; COMPARATIVE STUDY; DECISION SUPPORT SYSTEM; EVALUATION; FUZZY LOGIC; HUMAN; MALE; METHODOLOGY; MIDDLE AGED; MORTALITY; PROGNOSIS; PROSTATE TUMOR; REPRODUCIBILITY; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; SURVIVAL; UNITED KINGDOM; VALIDATION STUDY;

AGED; AGED, 80 AND OVER; ALGORITHMS; BREAST NEOPLASMS; DECISION MAKING, COMPUTER-ASSISTED; FUZZY LOGIC; GREAT BRITAIN; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; PROGNOSIS; PROSTATIC NEOPLASMS; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; RISK FACTORS; SENSITIVITY AND SPECIFICITY; SURVIVAL ANALYSIS; TUMOR MARKERS, BIOLOGICAL;

EID: 0038112042     PISSN: 10897771     EISSN: None     Source Type: Journal    
DOI: 10.1109/TITB.2003.811876     Document Type: Article

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