Title :
Estimation of ventilation, length of stay, and mortality using artificial neural networks
Author :
Buskard, Timothy ; Stevenson, Maryhelen ; Frize, Monique ; Solven, Fred
Author_Institution :
Dept. of Electr. Eng., New Brunswick Univ., Fredericton, NB, Canada
Abstract :
The APACHE II severity of disease classification system has been used for many years to predict probability of patient mortality; however, this approach is manual and was developed for use in a specific patient population. In this study, we trained feed-forward neural networks to estimate various outcomes of patients in a local Intensive Care Unit (ICU). The outcomes estimated include: patient mortality, length of stay and artificial ventilation requirements. The results compare favourably with those previously discussed in the literature. The eventual goal is to incorporate these neural networks into a larger patient management system for use in the ICU; it is anticipated that such a system will aid in medical decision making and will have potential use as a teaching tool
Keywords :
medical administrative data processing; medical expert systems; neural nets; patient treatment; APACHE II severity of disease classification system; artificial neural networks; feedforward neural networks; local intensive care unit; medical decision making; mortality; patient management system; patient mortality; Medical expert systems; Medical treatment; Neural networks;
Conference_Titel :
Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1994.405854