Mineração de dados aplicada ao enade

Trabalho de Conclusão de Curso (graduação)—Universidade de Brasília, Instituto de Ciências Exatas, Departamento de Ciência da Computação, 2018.O Instituto Nacional de Estudos e Pesquisas Educacionais Anísio Teixeira (INEP) disponibiliza os dados recolhidos por pesquisas, avaliações e exames realizados. Os dados referentes ao exame nacional de desenvolvimento dos estudantes (Enade) são um exemplo disso. Esses dados contêm diversas informações sobre os estudantes que realizaram o exame. Neste trabalho foram aplicadas técnicas de visualização, análise e mineração de dados por meio de recursos como tabelas, gráficos e a ferramenta Weka. O Enade do ano de 2014 foi estudado de forma geral por ser o ano mais atual contendo os cursos de computação, mas houve um foco diferenciado para o curso de Ciência da Computação (Bacharel) e para os alunos da Universidade de Brasília (UnB). Foram feitas diversas análises em cima dos dados como correlações entre colunas, classificação da nota com relação aos atributos e análise das respostas dos estudantes nos itens do exame. O objetivo dessas análises foi entender melhor o perfil dos estudantes do ensino superior no Brasil.The Anísio Teixeira National Institute for Educational Studies and Research (INEP) publishes data from various sources, including research, assessments, and past exams. One example is data on students from the National Assessment of Student Achievement (ENADE). This paper presents the results of applying visualization techniques, analyses, and data mining algorithms using resources like tables, charts, and the software Weka. The 2014 edition of ENADE was studied as a whole, but focused on comparing University of Brasilia (UnB) Computer Science bachelor’s degree students with students pursuing the same degree at other universities. Several analyses were made with this data with the goal of better understanding the profile of Brazilian college students. They include correlation between attributes, classification of scores based on those attributes, and analysis of the students’ answers on the exam

Determinants of Quality of Life in Ageing Populations: Results from a Cross-Sectional Study in Finland, Poland and Spain

PURPOSE: To comprehensively identify the determinants of quality of life (QoL) in a population study sample of persons aged 18-50 and 50+. METHODS: In this observational, cross-sectional study, QoL was measured with the WHOQOL-AGE, a brief instrument designed to measure QoL in older adults. Eight hierarchical regression models were performed to identify determinants of QoL. Variables were entered in the following order: Sociodemographic; Health Habits; Chronic Conditions; Health State description; Vision and Hearing; Social Networks; Built Environment. In the final model, significant variables were retained. The final model was re-run using data from the three countries separately. RESULTS: Complete data were available for 5639 participants, mean age 46.3 (SD 18.4). The final model accounted for 45% of QoL variation and the most relevant contribution was given by sociodemographic data (particularly age, education level and living in Finland: 17.9% explained QoL variation), chronic conditions (particularly depression: 4.6%) and a wide and rich social network (4.6%). Other determinants were presence of disabling pain, learning difficulties and visual problems, and living in usable house that is perceived as non-risky. Some variables were specifically associated to QoL in single countries: age in Poland, alcohol consumption in Spain, angina in Finland, depression in Spain, and self-reported sadness both in Finland and Poland, but not in Spain. Other were commonly associated to QoL: smoking status, bodily aches, being emotionally affected by health problems, good social network and home characteristics. CONCLUSIONS: Our results highlight the importance of modifiable determinants of QoL, and provide public health indications that could support concrete actions at country level. In particular, smoking cessation, increasing the level of physical activity, improving social network ties and applying universal design approach to houses and environmental infrastructures could potentially increase QoL of ageing population

Serum Albumin Is Inversely Associated With Portal Vein Thrombosis in Cirrhosis

We analyzed whether serum albumin is independently associated with portal vein thrombosis (PVT) in liver cirrhosis (LC) and if a biologic plausibility exists. This study was divided into three parts. In part 1 (retrospective analysis), 753 consecutive patients with LC with ultrasound-detected PVT were retrospectively analyzed. In part 2, 112 patients with LC and 56 matched controls were entered in the cross-sectional study. In part 3, 5 patients with cirrhosis were entered in the in vivo study and 4 healthy subjects (HSs) were entered in the in vitro study to explore if albumin may affect platelet activation by modulating oxidative stress. In the 753 patients with LC, the prevalence of PVT was 16.7%; logistic analysis showed that only age (odds ratio [OR], 1.024; P = 0.012) and serum albumin (OR, -0.422; P = 0.0001) significantly predicted patients with PVT. Analyzing the 112 patients with LC and controls, soluble clusters of differentiation (CD)40-ligand (P = 0.0238), soluble Nox2-derived peptide (sNox2-dp; P < 0.0001), and urinary excretion of isoprostanes (P = 0.0078) were higher in patients with LC. In LC, albumin was correlated with sCD4OL (Spearman's rank correlation coefficient [r(s)], -0.33; P < 0.001), sNox2-dp (r(s), -0.57; P < 0.0001), and urinary excretion of isoprostanes (r(s), -0.48; P < 0.0001) levels. The in vivo study showed a progressive decrease in platelet aggregation, sNox2-dp, and urinary 8-iso prostaglandin F2 alpha-III formation 2 hours and 3 days after albumin infusion. Finally, platelet aggregation, sNox2-dp, and isoprostane formation significantly decreased in platelets from HSs incubated with scalar concentrations of albumin. Conclusion: Low serum albumin in LC is associated with PVT, suggesting that albumin could be a modulator of the hemostatic system through interference with mechanisms regulating platelet activation