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《Journal of Liaoning Medical University》 2013-01
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Design Research on Electrolyte Imbalance Diagnosis System Based on Fuzzy Clustering Analysis and SWRL

FU Haiyan1,DU Hongyang1,PU Yijia2,DU Hongwei2(1.First Affiliated Hospital of Liaoning Medical University,Jinzhou 121000 China; 2.Computer Science and Engineering College of Jiangsu Science and Technology University,Zhenjiang 212003 China)  
Given multiple factors to be taken into consideration and the extreme complexity in the course of electrolyte imbalance diagnosis,protégé software was adopted to construct typical cases and main bodies of patients,and SWRL was used to establish relevant diagnosing rules under the guidance of the clinical experts.Due to the limitations of the rules,fuzzy clustering analysis was adopted to find the typical cases corresponding to the plasma electrolyte concentration value,thereby obtaining the final knowledge base of main bodies.With the utilization of JESS,typical cases with the maximum similarity were derived,and in this way helps are provided for medical staff to make diagnosis,and the feasibility of the system can be validated through living examples.
【CateGory Index】: R318.6
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【Citations】
Chinese Journal Full-text Database 3 Hits
1 DU Ye-hong,LIAN Su-jie,ZHAO Xue-gang (Ordnance Test Center,Baicheng 137001,P.R.China);Research on Cloud Model and Swrl-based in Weapon Test Fault Prediction[J];科学技术与工程;2012-05
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【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 DU Ye-hong;YU Hao;ZHANG Jun;LI Jie;XU Xing-jian;Baicheng Ordnance Test Center of China;School of Mechatronical Engineering,Beijing Institute of Technology;;Modeling and Design of Trajectory of Multi-MAVs for Coveraging Multi-targets in Non-cooperative Manner[J];兵工学报;2016-05
2 GAO Guo-wei;WANG Ya-jie;LI Jia-hui;LI Yong-xian;School of Management ,Liaoning Normal University;School of Management ,Jilin University;;Knowledge Base Frame Structure Research Based on Knowledge Element[J];情报科学;2016-03
3 XIE Tian;CHEN Jian-hua;WEI Yao-yao;ZHANG Jun-bo;University of South China;;Power System Oriented Semantic Workflow Reasoning Framework[J];南华大学学报(社会科学版);2015-01
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【Secondary Citations】
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1 ZUO Xian-zhang1,KANG Jian1,LI Hao2, TANG Li-wei1(1.Ordnance Engineering Collage, Shijiazhuang 050003, China,2.Unit 63880 of PLA, Luoyang 471003, China);Overview of Fault Prediction Technology[J];火力与指挥控制;2010-01
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