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1.
Journal of Biomedical Engineering ; (6): 38-41, 2009.
Article in Chinese | WPRIM | ID: wpr-318116

ABSTRACT

GEP (Gene expression programming) is a new genetic algorithm, and it has been proved to be excellent in function finding. In this paper, for the purpose of setting up a diagnostic model, GEP is used to deal with the data of heart disease. Eight variables, Sex, Chest pain, Blood pressure, Angina, Peak, Slope, Colored vessels and Thal, are picked out of thirteen variables to form a classified function. This function is used to predict a forecasting set of 100 samples, and the accuracy is 87%. Other algorithms such as SVM (Support vector machine) are applied to the same data and the forecasting results show that GEP is better than other algorithms.


Subject(s)
Humans , Algorithms , Artificial Intelligence , Computational Biology , Methods , Data Mining , Diagnosis, Computer-Assisted , Methods , Gene Expression Profiling , Methods , Gene Regulatory Networks , Genetics , Heart Diseases , Diagnosis , Models, Cardiovascular
2.
Chinese Journal of Pathophysiology ; (12)1999.
Article in Chinese | WPRIM | ID: wpr-528487

ABSTRACT

AIM: To investigate the involvement of calcineruin (CaN) signal pathway mediated by angiotension Ⅱ (Ang Ⅱ) in the myocardial remodeling mechanism in patients with congestive heart failure (CHF). METHODS: 39 patients of mitral valve disease with CHF were randomly selected and 30 cases of healthy persons were included as controls. Cardiac function parameters were measured by echocardiography. Concentration of Ang Ⅱ in plasma and myocardial tissues were determined by radioimmunoassay. Immunoprecitipation was used to assay the protein expression and phosphorylation CaN, nuclear factor of activated T cells (NFAT_3),zinc finger transcription factor (GATA_4) in myocardial tissues. The mRNA expression of ?-myosin heavy chain (?-MHC) was measured by RT-PCR. RESULTS: The Ang Ⅱ concentrations in patients with CHF were positively correlated with the parameters of the cardiac dialtion respectively, but negatively correlated with the paremeters of cardiac function. Compared to the control group, protein of CaN and GATA_4, phosphorylation of CaN, and ?-MHC mRNA expression in myocardial tissues in CHF groups were highly expressed and their expression were positively correlated to the levels of CHF, but the phosphorylation of NFAT_3 was negatively correlated with the levels of CHF. CONCLUSION: CaN signal pathway may play important roles in the myocardial remodeling in CHF.

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