7 research outputs found

    Comparative Analysis of Back Propagation Neural Network and Probabilistic Neural Network for Diseases

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    The diagnosis of diseases is a criticalanddifficult job in medicine. An attempt to exploitknowledge and experience of several specialistsand clinical screening data of patients composedin databases to assist the diagnosis procedure.Data Mining is the process of automatinginformation discovery for finding relationshipsdata to predict outcomes. In this paper, anefficient approach is compared for the intelligentdiseases prediction based on Back PropagationNeural Network (BPNN) and Probabilistic NeuralNetwork (PNN) techniques. This paper willcompare the performance of BPNN and PNNbased on their accuracy and execution time forpredicting the diseases such as chronic kidneydisease, hepatitis disease, heart disease and breastcancer diseas

    Analyzing Customer Buying Habits Using Transaction Data

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    Data mining is the process of digging trough large files and databases to discover useful, non-obvious and often unexpected trends and relationships. Association rules are popular representations in data mining. It finds interesting association or correlation relationships among large set of data items. Most of the recent years, a very influential association rule mining algorithm, Apriori, has been used. It is to find frequent patterns, which produces candidate generation and multiple scans of database. Therefore, it is time consuming. Frequent pattern mining (FP-growth), is another milestone in development of association rules mining, which breaks the main bottlenecks of the Apriori. The frequent itemsets are generated with only two passes over the database and without any candidate generation process. This paper presents user buying habits using the sales transaction of stationery and FP-growth algorithm in association rule mining which is efficient and without candidate generation

    Power Output Enhancement of Straight-Bladed Vertical-Axis Wind Turbines with Surrounding Structures

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    Wind tunnel experiments were conducted by installing wind-acceleration structures on both sides of a straight-bladed vertical-axis wind turbine (VAWT) to improve the output performance of the turbine. In the case of Venturi-shape structures, a curved shape with a large outlet opening produced a higher power output than straight or brimmed Venturi shapes. More importantly, two simple flat plates installed upstream of the wind turbine achieved the highest power enhancement of 2.4 times the power of the bare wind turbine. From the analysis of the flow visualization results, the power enhancement was attributed to the increase in lift force on the blades in the upstream region due to the acceleration of the gap flow between the flat plates, and the decrease in drag force on the blades toward the upstream region due to stagnation of the flow behind the plates

    Body mass index (BMI) of Institute of Medicine (1) entrants

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    Anthropometric study on 2 batches of 1167 entrants to Yangon Institute of Medicine (1) showed that height, body weight, and BMI (mean + SD) for male ( n= 312; 17.4 + 0.6 yr) and female (n= 328; 17.4 + 0.7 yr) entrants in 5/2001 batch were 1.69 + 0.64m, 58.4+10.6kg, 20.44 + 3.66kg/m2,and 1.57+ 0.53m, 46.73 + 6.42kg, 18.9 + 2.43kg/m2respectively. In 12/2001 batch, the corresponding values for male ( n= 254; 16.6 + 0.5 yr) and female (n= 273; 16.5 + 0.6 yr) entrants were 1.58 + 0.43m, 55.06 + 11.3 kg, 19.19 + 3.42 kg/m2, and 1.53 + 0.3m, 46.55 + 8.09 kg, 18.53 + 3.03 kg/m2respectively. Out of 566 male students, 2% were obese, 13.4% overweight, 38.9% normal weight and 45.8% underweight (WHO expert consultation). In 601 female students, the corresponding data were 0.5%, 6.3%, 41.8 % and 51.4%. Thus in both sexes, underweight students outnumber those with ideal weight. The relationship between obesity and male sex was significant (p< 0.05). Height and weight of male University Entrants (16-18 yr; n= 233) studied in 1957 in Yangon (M.MyaTu & Ko Ko, 1962) were 1.63 + 0.06m and 47.11+7 kg. Over a period of four decades, the heights of male entrants remained similar while the body weight and hence BMI significantly increased (p<0.01). Since obesity globally is on the rise, monitoring of BMI of young adults should be continued

    Women’s knowledge on common non-communicable diseases and nutritional need during pregnancy in three townships of Ayeyarwaddy region, Myanmar: a cross-sectional study

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    Abstract Background Health systems in many countries do not adequately address non-communicable diseases (NCDs) during pregnancy, especially in low- and middle-income countries. In Myanmar, most studies on NCDs have investigated risk factors and prevalence of NCDs in the general population. This study aimed to assess the level of knowledge of common NCDs and nutritional need during pregnancy and to identify the factors associated with such knowledge, in three townships of Ayeyarwaddy region in Myanmar. Methods A cross-sectional study was conducted among pregnant women aged between 18 and 49 years. We interviewed 630 pregnant women by using a pretested structured questionnaire. Knowledge questionnaire had five categories: general knowledge in NCDs, hypertension, diabetes, anemia, and nutritional need during pregnancy. Knowledge scores ranged from 0 to 56. We used Bloom’s cut-off point to classify the knowledge into three levels: low level as 59% or below (0–33 scores), moderate level as 60–80% (34–49 scores), and high level as 80–100% (50–56 scores). We conducted multiple linear regression analyses to find the association between different exposure variables (behavioral risk factors, pre-existing NCDs in pregnant women, and family history of NCDs) and knowledge on common NCDs and nutritional need during pregnancy adjusted for socioeconomic factors. Results Among pregnant women, 64.8% had moderate level of knowledge, 22.7% had low level, and only 12.5% had high level. The mean knowledge scores were 39.6 (standard deviation 10.2). Pregnant women with the following factors were more likely to have higher knowledge: their belonging to the second, middle, and fourth quintiles of wealth index and their family members’ status of having some kind of NCDs. Conclusions Majority of pregnant women had low to moderate level of knowledge on common NCDs and nutritional need during pregnancy. Wealth and family history of NCDs were significantly associated with their knowledge. Prevention and promotion of NCDs should be integrated in maternal and child health programs and should emphasize for the pregnant women who are in the poorest or richest wealth quintiles and who do not have family history of NCDs

    直線翼垂直軸型風車の出力を向上させる周辺付加物の形状検討

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    The effective shape of surrounding structures was investigated to improve the power output of vertical axis wind turbines through wind tunnel experiments. A VAWT equipped with a pair of vertical flat plates in the upstream demonstrated power augmentation by a factor of 2.4 compared to the VAWT without plates. The pair of plates could accelerate the gap flow in the downstream wind, and also could reduce a drag force to a blade of a VAWT toward upstream. We proposed a recommended shape of the structures which consist of flat panels in the upstream
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