Neurofuzzy systems for the prediction of outcome in acute lower gastrointestinal hemorrhage

European Journal of Gastroenterology and Hepatology

Volumn 20, Issue 8, 2008, Pages 813-

  Tez, Mesut ^a,c   Tez, Selda ^b  

^a GAZI UNIVERSITY   (Turkey)

^b Department of Plastic and Reconstructive Surgery   (Turkey)

^c NONE   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE DISEASE; ARTIFICIAL NEURAL NETWORK; CLINICAL ASSESSMENT; COMPUTER ASSISTED DIAGNOSIS; FUZZY LOGIC; FUZZY SYSTEM; GASTROINTESTINAL HEMORRHAGE; INTESTINAL BLEEDING; LETTER; LINGUISTICS; MEDICAL DECISION MAKING; PATIENT CARE; POPULATION; PREDICTION; PRIORITY JOURNAL; TREATMENT OUTCOME; DECISION SUPPORT SYSTEM; HUMAN; METHODOLOGY; NOTE;

DECISION MAKING, COMPUTER-ASSISTED; DIAGNOSIS, COMPUTER-ASSISTED; FUZZY LOGIC; GASTROINTESTINAL HEMORRHAGE; HUMANS; NEURAL NETWORKS (COMPUTER);

EID: 52749088261     PISSN: 0954691X     EISSN: None     Source Type: Journal    
DOI: 10.1097/MEG.0b013e3282f76309     Document Type: Letter

References (3)

1. Das A, Wong RC. Prediction of outcome in acute lower gastrointestinal hemorrhage: role of artificial neural network. Eur J Gastroenterol Hepatol 2007; 19:1064-1069.
2. Catto JW, Linkens DA, Abbod MF, Chen M, Burton JL, Feeley KM, Hamdy FC. Artificial intelligence in predicting bladder cancer outcome: a comparison of neuro-fuzzy modeling and artificial neural networks. Clin Cancer Res 2003; 9:4172-4177.
3. Tez M, Tez S. Neurofuzzy-based classification systems in colorectal cancer. Lancet Oncol 2007; 8:669-670.