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The paper presents an application developed for monitoring the health of a human subject, respectively for monitoring a set of critical medical parameters (blood glucose, cholesterol, blood pressure, pulse and oxygen saturation) while the diagnosis is made based on the application supplied results. The field of artificial intelligence is a very wide one, providing to the user a set of various techniques such as: fuzzy logic, artificial neural networks, adaptive neuro-fuzzy systems, expert systems, data mining, genetic algorithms. To develop the application software (the necessary decision rules, in fact the fuzzy rules) was used one of the most efficient (due to the multiple advantages supplied by the usage of fuzzy logic together with artificial neural networks) artificial intelligence technique, respectively the neuro-fuzzy inference systems, while the application interface was developed using the Visual Studio programming environment (respectively the C# language). A set of simulation results related to the developed application are presented for different test cases, such as: a healthy human subject, a human subject with diabetes, a human subject with high cholesterol, with high blood pressure, with lower level of blood oxygen and also with hypoxemia.

Aim: Predicting the Heartdiseases using medical parameters of cardiac patients to get a good accuracy rate using machine learning methods like innovative Decision Tree (DT) algorithm. Materials and Methods: Supervised Machine learning Techniques with innovative Decision Tree (N = 20) and K Nearest Neighbour (KNN) (N = 20) are performed with five different datasets at each time to record five samples. Results: The Decision Tree is used to predict heart disease with the help of various medical conditions, the accuracy is achieved for DT is 98% and KNN is 72.2%. The two algorithms Decision Tree and KNN are statistically insignificant (=.737) with the independent sample T-Test value (p<0.005) with a confidence level of 95%. Conclusion: Prediction and classification of heart disease significantly seem to be better in DT than KNN. [ABSTRACT FROM AUTHOR]

The article presents results of demographic status assessment of the Kyrgyz Republic, discusses trends of the main medicaldemographic parameters characterizing the nation and shows that the socioeconomic changes that have been taking place in the recent decades continue having considerably effect on population health formation and change of demographic processes.

Abstract: Perfluoroalkyl acids (PFAAs) are a group of chemicals used for many applications and widely present in the environment and humans. In this study, serum levels of PFAAs and isomers of perfluorooctanesulfonate (PFOS) and perfluorooctanoate (PFOA) were analyzed in 141 Chinese pregnant women. Among all the samples, total PFOS (∑PFOS, mean concentration 7.32ng/mL) was predominant, followed by ∑PFOA (mean 4.78ng/mL) and perfluorodecanoate (PFDA, mean 1.45ng/mL). On average, the proportion of linear PFOS (n-PFOS) was 66.7% of ∑PFOS, which was higher than the general population, implying that maternal women could excrete branched PFOS isomers to the fetus by transplacental transfer. Moreover, the proportion of n-PFOS decreased significantly with the increasing concentration of ∑PFOS in the serum samples (r=−0.342, p <0.001). The mean proportion of n-PFOA in the serum samples was 99.0%, which was much higher than the technical ECF (electrochemical fluorination) products (ca. 70%). The small proportion of branched isomers of PFOA suggests that there is still a source of ECF PFOA in China. Significant correlations (p <0.005) were observed between the concentrations of some PFAAs with certain medical parameters in the pregnant women. For example, the levels of most perfluorinated carboxylic acids (PFCAs) were found to correlate with albumin significantly, which might be a sign of immunotoxicity of these chemicals. The adverse effects of PFAA exposure to pregnant women may increase the health risk of the fetus. Interestingly, not only the PFAA concentrations but also the percentages of PFOS and PFOA isomers were correlated with certain medical parameters. This implies that the compositions of PFOS or PFOA should be considered in human health risk assessment in the future. [Copyright &y& Elsevier]

A novel measurement system for the 3-D reconstruction of occlusions of the carotid artery is presented. The proposed system can be added onto a conventional diagnostic ultrasonographic system, so that it can be considered as an upgrade for preexisting equipments. It retrieves information from a set of ordinary 2-D ultrasound images and spatial sensors in order to build a 3-D representation of the vessel and of a possible occlusion and to extract measurements of important medical parameters from them. The geometrical modeling of carotid is dealt with. This paper is also concerned with a metrological characterization of the measurement procedure, including the development of a model for the estimation of the uncertainty according to international standards. Experimental results are also reported and discussed. [ABSTRACT FROM PUBLISHER]