Application of a two-stage fuzzy neural network to a prostate cancer prognosis system

Artificial Intelligence in Medicine

Volumn 63, Issue 2, 2015, Pages 119-133

  Kuo, Ren Jieh ^a   Huang, Man Hsin ^b   Cheng, Wei Che ^a   Lin, Chih Chieh ^c,d   Wu, Yung Hung ^c  

^a NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^b Hon Hai Precision Industry   (Taiwan)

^c TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

^d NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

Fuzzy neural network; Optimization version of an artificial immune network; Particle swarm optimization algorithm; Prognosis; Prostate cancer

Indexed keywords

ALGORITHMS; BENCHMARKING; CLUSTER ANALYSIS; DIAGNOSIS; FUNCTION EVALUATION; FUZZY NEURAL NETWORKS; MEMBERSHIP FUNCTIONS; NEURAL NETWORKS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO); UROLOGY;

ARTIFICIAL IMMUNE NETWORKS; BENCHMARK FUNCTIONS; BETTER PERFORMANCE; EVALUATION RESULTS; FUZZY IF-THEN RULES; PARTICLE SWARM OPTIMIZATION ALGORITHM; PROGNOSIS; PROSTATE CANCERS;

DISEASES;

PROSTATE SPECIFIC ANTIGEN; PROTEIN ANTIBODY;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CANCER GENETICS; CANCER PROGNOSIS; CANCER STAGING; CELL ACTIVATION; CELL CLONE; CLINICAL FEATURE; COMPUTER PROGRAM; CONTROLLED STUDY; FUZZY SYSTEM; GENETIC ALGORITHM; GLEASON SCORE; HUMAN; IMMUNE SYSTEM; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL MODEL; MEMORY CELL; MUTATION RATE; NORMAL DISTRIBUTION; PRIORITY JOURNAL; PROGENY; PROSTATE CANCER; TWO STAGE FUZZY NEURAL NETWORK; ALGORITHM; FUZZY LOGIC; MACHINE LEARNING; PROGNOSIS; PROSTATIC NEOPLASMS;

ALGORITHMS; FUZZY LOGIC; HUMANS; MACHINE LEARNING; MALE; NEURAL NETWORKS (COMPUTER); PROGNOSIS; PROSTATIC NEOPLASMS;

EID: 84928206882     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2014.12.008     Document Type: Article

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