A Development of the Diagnosis Expert Systems for the Stroke Estimation.
- Author:
Ju Won LEE
1
;
Gun Ki LEE
;
Byoung Hoon LIM
Author Information
1. Department of Electronics Engineering, Gyeongsang National University, Korea. gklee@nongae.gsnu.ac.kr
- Publication Type:Original Article
- Keywords:
Expert Systems;
Neural Networks;
Stroke
- MeSH:
Central Nervous System;
Diagnosis*;
Expert Systems*;
Humans;
Neurology;
Primary Health Care;
Stroke*;
Students, Medical
- From:Journal of Korean Society of Medical Informatics
2001;7(1):77-82
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
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.
