Artificial neural networks: Useful aid in diagnosing acute appendicitis

World Journal of Surgery

Volumn 32, Issue 2, 2008, Pages 305-309

  Prabhudesai, S G ^a   Gould, S ^a   Rekhraj, S ^a   Tekkis, P P ^a   Glazer, G ^b   Ziprin, P ^a  

^a IMPERIAL COLLEGE LONDON   (United Kingdom)

^b ST MARY S HOSPITAL   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE APPENDICITIS; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CLINICAL ASSESSMENT; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; DISEASE DURATION; FEMALE; HUMAN; MAJOR CLINICAL STUDY; MALE; PAIN; PREDICTOR VARIABLE; SCORING SYSTEM; SENSITIVITY AND SPECIFICITY; STATISTICAL SIGNIFICANCE;

ADULT; APPENDECTOMY; APPENDICITIS; COHORT STUDIES; FEMALE; FLANK PAIN; HUMANS; LAPAROSCOPY; MALE; NEURAL NETWORKS (COMPUTER); PREDICTIVE VALUE OF TESTS; SEX FACTORS;

EID: 38349089334     PISSN: 03642313     EISSN: 14322323     Source Type: Journal    
DOI: 10.1007/s00268-007-9298-6     Document Type: Article

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