Applying artificial neural networks to the diagnosis of organic dyspepsia

Statistical Methods in Medical Research

Volumn 16, Issue 4, 2007, Pages 331-346

  García Altés, Anna ^a   Santín, Daniel ^b   Barenys, Mercè ^c  

^a UNIVERSITAT AUTÒNOMA DE BARCELONA   (Spain)

^b UNIVERSIDAD COMPLUTENSE DE MADRID   (Spain)

^c HOSPITAL DE VILADECANS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

NONSTEROID ANTIINFLAMMATORY AGENT; STOMACH SECRETION INHIBITOR; UREASE;

ADULT; AGED; ALGORITHM; AREA UNDER THE CURVE; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE CLASSIFICATION; DYSPEPSIA; ENDOSCOPY; FEMALE; HELICOBACTER PYLORI; HUMAN; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MATHEMATICAL COMPUTING; MEDICAL DECISION MAKING; PATIENT REFERRAL; PREDICTION; SCORING SYSTEM; SCREENING TEST; SENSITIVITY AND SPECIFICITY; SYMPTOM;

ALGORITHMS; DYSPEPSIA; HELICOBACTER PYLORI; HUMANS; NEURAL NETWORKS (COMPUTER); SEVERITY OF ILLNESS INDEX;

EID: 34547682093     PISSN: 09622802     EISSN: None     Source Type: Journal    
DOI: 10.1177/0962280206071839     Document Type: Article

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