Prediction of survival and complications after percutaneous endoscopic gastrostomy in an individual by using clinical factors with an artificial neural network system

European Journal of Gastroenterology and Hepatology

Volumn 21, Issue 11, 2009, Pages 1279-1285

  Takayama, Tetsuro ^a   Takayama, Kozo ^b   Inoue, Nagamu ^a   Funakoshi, Shinsuke ^c   Serizawa, Hiroshi ^c   Watanabe, Noriaki ^c   Kumagai, Naoki ^c   Tsuchimoto, Kanji ^c   Hibi, Toshifumi ^a  

^a KEIO UNIVERSITY SCHOOL OF MEDICINE   (Japan)

^b HOSHI UNIVERSITY   (Japan)

^c KITASATO INSTITUTE HOSPITAL   (Japan)

Author keywords

Artificial neural network; Percutaneous endoscopic gastrostomy; Prediction; Survival

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; ASPIRATION PNEUMONIA; BLEEDING; DEATH; DIARRHEA; FEMALE; HUMAN; JAPAN; MAJOR CLINICAL STUDY; MALE; MONTE CARLO METHOD; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PERCUTANEOUS ENDOSCOPIC GASTROSTOMY; PREDICTIVE VALIDITY; PRIORITY JOURNAL; QUESTIONNAIRE; RISK FACTOR; SURGICAL MORTALITY; SURVIVAL; TREATMENT INDICATION; TREATMENT OUTCOME;

ADULT; AGED; AGED, 80 AND OVER; DIARRHEA; EPIDEMIOLOGIC METHODS; FEMALE; GASTROSCOPY; GASTROSTOMY; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PNEUMONIA, ASPIRATION; PROGNOSIS; TREATMENT OUTCOME;

EID: 70350166178     PISSN: 0954691X     EISSN: None     Source Type: Journal    
DOI: 10.1097/MEG.0b013e32832a4eae     Document Type: Article

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