NEONATE: Decision support in the neonatal intensive care unit - A preliminary report

被引：0
|
作者：
Hunter, J [1 ]
Ewing, G
Freer, Y
Logie, R
McCue, P
McIntosh, N
机构：
[1] Univ Aberdeen, Kings Coll, Dept Comp Sci, Aberdeen AB24 3UE, Scotland
[2] Univ Aberdeen, Kings Coll, Dept Psychol, Aberdeen AB24 2UB, Scotland
[3] Univ Edinburgh, Dept Neonatol, Edinburgh, Midlothian, Scotland
来源：
ARTIFICIAL INTELLIGENCE IN MEDICINE, PROCEEDINGS | 2003年 / 2780卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The aim of the NEONATE project is to investigate sub-optimal decision making in the neonatal intensive care unit and to implement decision support tools which will draw the attention of nursing and clinical staff to situations where specific actions should be taken or avoided. We have collected over 400 patient-hours of data on 31 separate babies, including physiological parameters sampled every second, observations made by a research nurse of all the actions performed on the baby with an accuracy of a few seconds, occasional descriptions of the appearance, mobility, sleep patterns, etc of the baby. We describe our attempts to use this data to discover examples of sub-optimal behaviour.
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页码：41 / 45
页数：5
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