Artificial Neural Network as a Predictive Instrument in Patients With Acute Nonvariceal Upper Gastrointestinal Hemorrhage

Gastroenterology

Volumn 134, Issue 1, 2008, Pages 65-74

  Das, Ananya ^a   Ben Menachem, Tamir ^b   Farooq, Farees T ^c   Cooper, Gregory S ^c   Chak, Amitabh ^c   Sivak Jr , Michael V ^c   Wong, Richard C K ^c  

^a MAYO CLINIC   (United States)

^b ROBERT WOOD JOHNSON MEDICAL SCHOOL   (United States)

^c UNIVERSITY HOSPITALS OF CLEVELAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ARTICLE; ARTIFICIAL NEURAL NETWORK; COHORT ANALYSIS; CONTROLLED STUDY; DISEASE SEVERITY; ENDOSCOPIC THERAPY; FEMALE; HOSPITALIZATION; HUMAN; MAJOR CLINICAL STUDY; MALE; OUTCOME ASSESSMENT; OUTCOME VARIABLE; PREDICTION; PREDICTIVE VALIDITY; PRIORITY JOURNAL; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; TERTIARY HEALTH CARE; UPPER GASTROINTESTINAL BLEEDING;

EID: 37349089341     PISSN: 00165085     EISSN: None     Source Type: Journal    
DOI: 10.1053/j.gastro.2007.10.037     Document Type: Article

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