This paper proposes a Healthcare Disease Reasoning System that infers a patient disease based on Fuzzy Rules using three factors of Mahalanobis distance, Orthogonal array and S/N ratio and recommends a healthcare prescription on the inferred disease. The proposed system consists of ASDRR (Attribute Selection for Disease Reasoning Rules) module, DRGF (Disease Rule Generation based on Fuzzy) module, SGG (Similarity Group Generation) module and DRMR (Disease Reasoning and Management Recommendation) module. The ASDRR module selects the attributes indispensable to disease reasoning rules by using three factors of Mahalanobis distance, Orthogonal array and Signal noise ratio, whereas the DRGF module generates disease reasoning rules based on Fuzzy with the attributes selected by the ASDRR module. The SGG module generates groups with highly similar data and classifies disease management by the groups. The DRMR module infers a patient disease by comparing the disease rules generated by the DRGF module with patient data and detects a disease management method showing high similarity to patient data. Because the Healthcare Disease Reasoning System proposed in this paper generates Disease Reasoning Rules based on Fuzzy with correlation matrix among attributes, it increases accuracy by approximately 5% compared with existing C4.5 algorithm. In addition, its accuracy can be improved further because of the subdivision of disease rules by using the small groups created by the SGG module and its function can be also improved by recommending the disease management method with high similarity.
Introduction. Breast cancer is the third most common illness in the world and the most frequent malignant disease with women, so it represents a great public health problem around the world.Cytotoxic therapy is connected to significant psychiatric adverse effects, and the appearance of depressive symptoms is the most common.\nGoals. Determining the degree of depression with breast cancer patients in the oncology ward of the University Clinical Hospital in Niš and its connection to their marital status, age, level of education, economic status and the number of therapy cycles.\nMethods. This research is a prospective study. The study group included 87 interviewees, ages 30 to 78, with a C50 diagnosis that were treated with cytotoxic therapy. The analysis included: The Beck Depression Inventory (BDI).Descriptive statistics was used to display the data and describe the examined groups, including the measurements of central tendency (the arithmetic mean and the median), measures of variability (variation interval and standard deviation) and relative numbers. The statistical data analysis included measures of descriptive and analytical statistics. \nResults and discussion. 76.00% of the interviewees in group i showed the presence of depressive symptoms of different intensity, and the second included 77.4%. The intensity of these symptoms categorizes them into the group of moderate to significantly expressed depressive states, so they require pharmacotherapeutic treatment.\nConclusion. Depression is significantly more often recorded with cancer patients receiving cytotoxic therapy; mild depression is the most common, followed by moderate and severe depression.
ABSTRACT\nThis study evaluated the effect of clomiphene citrate on the ovary of adult rat. Eighty selected female rats with regular estrous cycle checked with vaginal smear once daily. Materials and methods: These rats were divided into two groups. Control group (40 rats) were injected by physiological saline 2m1 subcutaneous for 10 consecutive days. The treated group was divided into two subgroups. Subgroup (A) was injected subcutaneously by clomiphene citrate in low dose (0.3mg/kg body weight/day) for 10 consecutive days. Subgroup (B) was injected subcutaneously by clomiphene citrate in high dose (3.0 mg/kg body weight/day) for 10 consecutive days. The rats of control and treated groups were killed 24 hours after the last injection. The right ovary of each rat was prepared for light and electron microscopes. The diameters of non atretic and atretic follicles were measured by ocular micrometer in the serial sections of the ovary at magnification of 100 and the numbers of non atretic, atretic follicles and corpora lutea were counted. Statistical analyses were made using the t-test among the studied groups. \nResults: The total follicle numbers were 18.2 ± 2.6 for control group, 25.1 ± 4.23 for group 2 and 28.3 ± 2.9 for group 3. The numbers of graffian, antral and multilaminar follicles increased significantly in both experimental groups when compared with the control groups (p<0.05), however there were no significant differences in follicle numbers and number of unilaminar primary follicles among the experimental groups. The diameters of non atretic and atretic follicles were measured by ocular micrometer in the serial sections of the ovary at magnification of 100 and the numbers of non atretic, atretic follicles and corpora lutea were counted. Statistical analyses were made using the t-test among the studied groups. clomiphene citrate low dose does not affect the number of non atretic follicles ranging from. 51-400 μm in diameter, but it decreased the number of non atretic follicles larger than 400 μm in diameter. It increased the number of atretic follicles ranging from 51 to 400 μm in diameter. The high dose of clomiphene citrate increased the number of non atretic follicles ranging from 51to 400 μm in diameter and decreased the non atretic follicles larger than 400 μm in diameter. The combination also increased the number of atretic follicles ranging from 51to 600 μm in diameter. Both doses inhibited the ovulation rate through decreasing the number of mature follicles larger than 400 μm in diameter, increasing the atresia of follicles and decreasing the number of first type of corpus luteum. \n Conclusion: In spite of Clomiphine induced folliculogenesis in rat ovary and increased the number of growing ovarian follicles but cause apoptosis and decrease oocyte quality.
In this paper, the bond graph methodology to model electrical transformers with internal incipient faults is applied. First, an electrical transformer considering the core in a bond graph approach is modelled. Hence, a deteriorating insulation model to the electrical transformer in the physical domain is introduced. Three cases of internal incipient faults are considered: turn-to-earth fault on the primary and secondary windings and the turn-turn fault on the primary winding. It can be seen that the proposed bond graph models are obtained in a direct and easy way. Finally, results simulation of the bond graph models using 20-SIM software are presented.
FIFA 11+ presents a complete program of warm-up, which is a result F-MARC research, and it is presented as preventive program of warm-up. The aim of the research is to analyze effects of FIFA 11+ training program. Theory analysis is used in the research of this paper. Researches, which aredirectly related to the theme of this paper are found on online data base (PubMed, Research Gate, Medline). Longitudinal and transversal research and theory analysis are used for analysis of effects of program. The general conclusion of this paper is that FIFA 11+ preventive program can be very useful and applicable program of prevention of the injuries and of improvement of a certain motor abilities.
The chemical reaction effects on the flow and heat transfer characteristics of a viscous non-Darcy nanofluid flow over a non-linearly stretching sheet embedded in saturated porous medium in the presence of thermal radiation and Soret effect. The resulting system of nonlinear partial differential equations is solved numerically using a shooting method with fourth–fifth-order Runge–Kutta integration technique. The solutions for the flow and heat transfer characteristics are evaluated numerically for various values of the governing parameters. The different types of nanoparticles are considered, namely CuNPs and AgNPs. The variations of dimensionless surface temperature as well as flow and heat and mass transfer characteristics with the governing dimensionless parameters of the problem, which include nanoparticles volume fraction ( ), chemical reaction parameter ( ), non-Darcy parameter (F) and thermal radiation parameter NR are graphed and tabulated. It is noticed that fields are largely affected with the variations of these parameters. The results are compared with the existing studies for the two-dimensional flows and found in an excellent agreement.