Artificial neural networks became an attractive alternative for modeling and simulation of com- plex biological systems. In the present work, a blood plasma model based on artificial neural networks was proposed in or...Artificial neural networks became an attractive alternative for modeling and simulation of com- plex biological systems. In the present work, a blood plasma model based on artificial neural networks was proposed in order to evaluate the relationship between the magnesium ion pre-sent in the blood plasma and systolic blood pressure and glucose. Experimental and simu- lated data were used to construct and validate the model. It performed the analysis consider-ing the systolic blood pressure and glucose as a function of magnesium ion concentration at a fixed temperature (37oC). Predictions of these relationships through the proposed model produced errors, on average, below 1% com-pared against experimental data not presented in the training step. The proposed methodology revealed quantitative results and correctly pre-dicted behaviors and trends towards the asso-ciation between magnesium concentrations and systolic blood pressure, and glucose in far agreement with experimental results from lit-erature. These results indicated that artificial neural networks can successfully learn the complexity of the relationships among bio-logical parameters of distinct groups and can be used as a complementary tool to assist studies in which the role of magnesium in systolic blood pressure and glucose are con-sidered.展开更多
Flame atomic absorption spectrometric determination of magnesium in whole blood and serum of ischemic heart disease patients and control with different ages and sex was proposed. The limiting interfering phosphate/mag...Flame atomic absorption spectrometric determination of magnesium in whole blood and serum of ischemic heart disease patients and control with different ages and sex was proposed. The limiting interfering phosphate/magnesium ratio have been estimates.2%w/v AlCl3.6H2O was found to be very influential in removing phosphate interference effects. The detection limit was 0.065 μg/mL .Magnesium added to blood and serum sample, and carried through this method may be recovered completely (96% - 100%) recovery percentage. The suggested method is simple, fast and selective. The statistical analysis of magnesium levels in blood and serum showed that blood and serum magnesium levels in patients were lower than magnesium contents of control group. Magnesium levels in blood and serum of males were significantly lower than females and the magnesium levels were age independent. These findings indicates that there was an association between blood and serum magnesium deficiency which can induce an entire array of path physiological phenomena known to be important in ischemic heart disease.展开更多
文摘Artificial neural networks became an attractive alternative for modeling and simulation of com- plex biological systems. In the present work, a blood plasma model based on artificial neural networks was proposed in order to evaluate the relationship between the magnesium ion pre-sent in the blood plasma and systolic blood pressure and glucose. Experimental and simu- lated data were used to construct and validate the model. It performed the analysis consider-ing the systolic blood pressure and glucose as a function of magnesium ion concentration at a fixed temperature (37oC). Predictions of these relationships through the proposed model produced errors, on average, below 1% com-pared against experimental data not presented in the training step. The proposed methodology revealed quantitative results and correctly pre-dicted behaviors and trends towards the asso-ciation between magnesium concentrations and systolic blood pressure, and glucose in far agreement with experimental results from lit-erature. These results indicated that artificial neural networks can successfully learn the complexity of the relationships among bio-logical parameters of distinct groups and can be used as a complementary tool to assist studies in which the role of magnesium in systolic blood pressure and glucose are con-sidered.
文摘Flame atomic absorption spectrometric determination of magnesium in whole blood and serum of ischemic heart disease patients and control with different ages and sex was proposed. The limiting interfering phosphate/magnesium ratio have been estimates.2%w/v AlCl3.6H2O was found to be very influential in removing phosphate interference effects. The detection limit was 0.065 μg/mL .Magnesium added to blood and serum sample, and carried through this method may be recovered completely (96% - 100%) recovery percentage. The suggested method is simple, fast and selective. The statistical analysis of magnesium levels in blood and serum showed that blood and serum magnesium levels in patients were lower than magnesium contents of control group. Magnesium levels in blood and serum of males were significantly lower than females and the magnesium levels were age independent. These findings indicates that there was an association between blood and serum magnesium deficiency which can induce an entire array of path physiological phenomena known to be important in ischemic heart disease.
