Risk analysis of lung cancer and effects of stress level on cancer risk through neuro-fuzzy model

Computer Methods and Programs in Biomedicine

Volumn 137, Issue , 2016, Pages 35-46

  Yılmaz, Atınç ^a   Arı, Seçkin ^b   Kocabıçak, Ümit ^b  

^a BEYKENT UNIVERSITY   (Turkey)

^b SAKARYA UNIVERSITY   (Turkey)

Author keywords

Cancer; Early diagnosis; Lung cancer; Neuro fuzzy logic; Risk; Stress

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIOLOGICAL ORGANS; COMPUTATION THEORY; COMPUTER CIRCUITS; DIAGNOSIS; FUZZY INFERENCE; FUZZY LOGIC; RECONFIGURABLE HARDWARE; RISK ANALYSIS; RISK ASSESSMENT; RISKS; STRESSES;

CANCER; COMPUTATIONAL TECHNIQUE; EARLY DIAGNOSIS; LUNG CANCER; NEURO-FUZZY LOGIC; NEURO-FUZZY MODEL; NUMBER OF PEOPLES; T-NORM OPERATORS;

DISEASES;

AGE DISTRIBUTION; ALCOHOL CONSUMPTION; ARTICLE; ARTIFICIAL INTELLIGENCE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CANCER RISK; CANCER SUSCEPTIBILITY; FEEDING BEHAVIOR; FUZZY LOGIC; FUZZY SYSTEM; LEARNING ALGORITHM; LUNG CANCER; RACE DIFFERENCE; RISK ASSESSMENT; SMOKE; SMOKING; SOCIAL STATUS; STRESS; VOCATION; WORK ENVIRONMENT; EARLY DIAGNOSIS; HUMAN; LUNG NEOPLASMS; MENTAL STRESS; RISK FACTOR; THEORETICAL MODEL;

EARLY DIAGNOSIS; FUZZY LOGIC; HUMANS; LUNG NEOPLASMS; MODELS, THEORETICAL; RISK FACTORS; STRESS, PSYCHOLOGICAL;

EID: 84988632760     PISSN: 01692607     EISSN: 18727565     Source Type: Journal    
DOI: 10.1016/j.cmpb.2016.09.002     Document Type: Article

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