TITLE

Use of an Artificial Neural Network to Predict Length of Stay in Acute Pancreatitis

AUTHOR(S)
Pofahl, Walter E.; Walczak, Steven M.; Rhone, Ethan; Izenberg, Seth D.
PUB. DATE
September 1998
SOURCE
American Surgeon;Sep1998, Vol. 64 Issue 9, p868
SOURCE TYPE
Academic Journal
DOC. TYPE
Article
ABSTRACT
Investigates whether an artificial neural network could accurately predict length of stay (LOS) greater than seven days in patients with acute pancreatitis. Use of LOS as a measurement of disease severity and patient acuity; Implications of the use of LOS in improving patient care; Findings that a neural network can be developed to predict LOS in acute pancreatitis.
ACCESSION #
1052799

 

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