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Healthc Inform Res > Volume 7(1); 2001 > Article
Journal of Korean Society of Medical Informatics 2001;7(1):77-82.
DOI: https://doi.org/10.4258/jksmi.2001.7.1.77    Published online March 31, 2001.
A Development of the Diagnosis Expert Systems for the Stroke Estimation
Ju Won Lee, Gun Ki Lee, Byoung Hoon Lim
1Department of Electronics Engineering, Gyeongsang National University, Korea.
2College of Medicine, Gyeongsang National University, Korea.

In this study, we designed the expert system for the diagnosis of stroke. The causes of stroke in central nervous systems are very diverse, so a doctor who treats the patients with stroke must have the expert knowledge for the quick and correct diagnosis and for the adequate medical management. But the primary physician who engaged in the primary care of the patient with stroke does not have the expert knowledge for the stroke. So, we need to develop the expert system for assisting the diagnosis of stroke. Also the diagnosis system can be used as simulator for the medical students who study the neurology. In this study, we developed the diagnosis expert system that offer a pathological name provided by artificial neural networks. And we designed the inference engine and GUIs(graphical user interfaces). The artificial neural network is a system that provide a possible diagnosis of stroke. We implemented the system using Visual Basic 6.0 of Microsoft Co.

Key Words: Expert Systems, Neural Networks, Stroke


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