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Purpose/Significance To construct the ontology model of breast cancer knowledge graph,and to realize the structured expres-sion and visual display of breast cancer knowledge.Method/Processs Breast cancer knowledge is extracted and represented,and the ontology model of breast cancer knowledge graph is constructed by Protégé software.The model includes 5 types of entities including patient,basic infor-mation of patient,inspection,diagnosis and attribute value of inspection,and more than 10 kinds of relationships such as having,examining,diagnosing,belonging and so on.Result/Conclusion The graphical display of breast cancer knowledge helps to improve the public's attention and understanding of breast cancer,and has a positive effect on the prevention and health management of breast cancer.
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Objective To investigate the optimal index of serum lipids to predict insulin resistance(IR) in subjects with normal fasting plasma glucose(FPG).Methods In Nor 2003-11 the 1002 subjects with FPG
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Nine hundred and two subjects were divided into combined hyperlipidemia group, hypertriglyceridemia group, hypercholesteremia group, isolated low high-density-lipoprotein group and normal group. The results suggested that insulin resistance may be accompanied with hyperlipidemia and hypertrigly-ceridemia.
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Relationship between blood pressure and insulin resistance was analyzed in 839 non hypertensive subjects (fasting plasma glucose