Is it possible to clinically differentiate erosive from nonerosive reflux disease patients? A study using an artificial neural networks-assisted algorithm

European Journal of Gastroenterology and Hepatology

Volumn 22, Issue 10, 2010, Pages 1163-1168

  Pace, Fabio ^a   Riegler, Gabriele ^c   De Leone, Annalisa ^a,c   Pace, Marina ^a   Cestari, Renzo ^d   Dominici, Patrizia ^b   Grossi, Enzo ^b  

^a UNIVERSITY OF MILAN   (Italy)

^b Bracco Imaging SpA   (Italy)

^c UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^d UNIVERSITY OF BRESCIA   (Italy)

Author keywords

ANNs; GERD; NERD; symptom questionnaire

Indexed keywords

ADULT; ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FEMALE; GASTROINTESTINAL ENDOSCOPY; HUMAN; MAJOR CLINICAL STUDY; MALE; NON EROSIVE REFLUX DISEASE; PRIORITY JOURNAL; QUESTIONNAIRE; REFLUX ESOPHAGITIS; SENSITIVITY AND SPECIFICITY;

ADULT; ALGORITHMS; DIAGNOSIS, DIFFERENTIAL; DUODENITIS; FEMALE; GASTROESOPHAGEAL REFLUX; HUMANS; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PROSPECTIVE STUDIES; QUESTIONNAIRES; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX;

EID: 77957581691     PISSN: 0954691X     EISSN: None     Source Type: Journal    
DOI: 10.1097/MEG.0b013e32833a88b8     Document Type: Article

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