A decision support tool for allocating hospital bed resources

被引：0
|
作者：
Walczak, S [1 ]
机构：
[1] Univ Colorado, Coll Business & Adm, Denver, CO 80217 USA
来源：
DECISION SCIENCES INSTITUTE 1998 PROCEEDINGS, VOLS 1-3 | 1998年
关键词：
D O I：
暂无
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
Critical care providers are faced with resource shortages and must find ways to effectively plan their resource utilization. Neural networks provide a new method for evaluating trauma patient (and other medical patient) level of illness and accurately predicting a patient's length of stay at a hospital. Backpropagation, RBF, and fuzzy ARTMAP neural networks are implemented to determine the applicability of neural networks for predicting a patient's injury severity and length of stay. A combination of backpropagation and fuzzy ARTMAP neural networks is recommended to produce the optimal combined (injury severity and length of stay) results.
引用
收藏
页码：660 / 662
页数：3
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