Length of hospital stay is, along with patient mortality, ''the most important clinical outcome'' for an ICU admission. Accurately predicting the length of stay of a patient can aid in assessment of t
OBJECTIVE: To test the effect of diagnosis on training an artificial neural network (ANN) to predict length of stay (LOS) for psychiatric patients involuntarily admitted to a state hospital. DESIGN: A
In the sheet “case_simulation”, enter values of interest in columns C-G to see the predicted length-of-stay in column H. The details of the contribution of each variable to the prediction are in colum
