Development and realization of the artificial neural network for diagnostics of stroke type

被引：0
|
作者：
Rebrova, OY [1 ]
Ishanov, OA [1 ]
机构：
[1] Inst Neurol, Moscow, Russia
来源：
ARTIFICIAL NEURAL NETWORKS: BIOLOGICAL INSPIRATIONS - ICANN 2005, PT 1, PROCEEDINGS | 2005年 / 3696卷
关键词：
artificial neural network; medical diagnostics; web-based application; perceptron; stroke;
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：
Methods of artificial neural networks are applied to the development of the decision support system for differential diagnostics of three types of stroke. Diagnostic sensitivity and positive predictive value were used as the basic criteria for estimation of efficiency of the developed algorithm. Their values appeared to be 97% and 99% respectively, and these results significantly exceed both the existing level of physicians' diagnostics, and the efficiencies of statistical algorithms developed earlier. C-code was generated, and web-based application was realized. Research of algorithm's efficiency continues.
引用
收藏
页码：659 / 663
页数：5
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