Automated medical diagnosis system (AMDS) with normal degree based on fuzzy logic

被引：0
|
作者：
Hata, Y [1 ]
Ishikawa, O [1 ]
Kobashi, S [1 ]
Kondo, K [1 ]
Nakano, T [1 ]
机构：
[1] Himeji Inst Technol, Grad Sch Engn, Div Comp Engn, Himeji, Hyogo 67122, Japan
来源：
PROCEEDINGS OF THE SECOND IASTED INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING | 2004年
关键词：
fuzzy logic; normal degree; medical diagnosis; medical imaging;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
This paper describes an automated medical diagnosis system (AMDS), which determines a normal degree for a medical sign or disease based on fuzzy logic. First, we summarize normal degree on theory of hierarchical definability (THD) by Zadeh. Second, we show flow chart of AMDS, which consists of two parts; one is construction of AMDS and the other is calculation of normal degrees. Third, we demonstrate two examples of AMDS: one is AMDS for diagnosing Alzheimer disease and Frontotemporal dementia and the other is personal AMDS for diabetes. Finally we conclude technical results.
引用
收藏
页码：590 / 593
页数：4
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