Use of an artificial neural network to predict length of stay in acute pancreatitis

American Surgeon

Volumn 64, Issue 9, 1998, Pages 868-872

  Pofahl, Walter E ^a,d   Walczak, Steven M ^b   Rhone, Ethan ^c   Izenberg, Seth D ^a  

^a Faculty of Pathological Sciences

^b Sch of Comp and Info Sciences

^c UNIVERSITY OF SOUTH ALABAMA   (United States)

^d UNIVERSITY OF SOUTH ALABAMA COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ACUTE PANCREATITIS; ADULT; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DISEASE COURSE; FEMALE; HUMAN; LENGTH OF STAY; MAJOR CLINICAL STUDY; MALE; PREDICTION; PROGNOSIS;

ACUTE DISEASE; ADULT; AGED; APACHE; CAUSE OF DEATH; DECISION MAKING; FALSE NEGATIVE REACTIONS; FALSE POSITIVE REACTIONS; FEMALE; FORECASTING; HEALTH CARE RATIONING; HUMANS; LENGTH OF STAY; MALE; MIDDLE AGED; NEURAL NETWORKS (COMPUTER); PANCREATITIS; PANCREATITIS, ALCOHOLIC; PREDICTIVE VALUE OF TESTS; PROGNOSIS; QUALITY ASSURANCE, HEALTH CARE; RETROSPECTIVE STUDIES; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX;

EID: 0031691761     PISSN: 00031348     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (19)

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