Meta-Analysis of the Sensitivity of Decision Support Systems in Diagnosing Diabetic Retinopathy.

Diabetic Retinopathy (DR) is one of the most common microvascular complications presenting by patients diagnosticated with diabetic diseases. Uncontrolled hyperglycemia may manifest as visual impairment and blindness. The early detection of DR is essential to minimize the risk and consequence of visual diminishing. The standard gold diagnoses tool relies on different imaging modalities and requires a judgment of expert photographers, which are not available in most of the primary care centers or remote location. In that scenario, an automate or semiautomated DR screening systems can contribute to improving the accuracy of the diagnostic. Thus, we performed a Systematic Review and Meta-Analysis to evaluate the Decision Support Systems (DSS) in diagnosing DR. The overall Diagnostic Odds Ratio was 73.15 (95%CI: 37.54-142.50), sensitivity was 97.70 (95%CI: 97.50-97.90) and specificity was 90.30 (95%CI: 90.00-90.60). Our results corroborate with the concept of usefulness of DSSs in early diagnosis, screening and preliminary evaluation of suspicious images of DR.

Caffeine Neuroprotection Decreases A2A Adenosine Receptor Content in Aged Mice.

Caffeine is a bioactive compound worldwide consumed with effect into the brain. Part of its action in reducing incidence or delaying Alzheimer's and Parkinson's diseases symptoms in human is credited to the adenosine receptors properties. However, the impact of caffeine consumption during aging on survival of brain cells remains debatable. This work, we investigated the effect of low-dose of caffeine on the ectonucleotidase activities, adenosine receptors content, and paying particular attention to its pro-survival effect during aging. Male young adult and aged Swiss mice drank water or caffeine (0.3 g/L) ad libitum for 4 weeks. The results showed that long-term caffeine treatment did not unchanged ATP, ADP or AMP hydrolysis in hippocampus when compared to the mice drank water. Nevertheless, the ATP/ADP hydrolysis ratio was higher in young adult (3:1) compared to the aged (1:1) animals regardless of treatment. The content of A1 receptors did not change in any groups of mice, but the content of A2A receptors was reduced in hippocampus of mice that consumed caffeine. Moreover, the cell viability results indicated that aged mice not only had increased pyknotic neurons in the hippocampus but also had reduced damage after caffeine treatment. Overall, these findings indicate a potential neuroprotective effect of caffeine during aging through the adenosinergic system.

Use of Data Mining to Predict the Risk Factors Associated With Osteoporosis and Osteopenia in Women.

Osteoporosis has recently been acknowledged as a major public health issue in developed countries because of the decrease in the quality of life of the affected person and the increase in public costs due to complete or partial physical disability. The aim of this study was to use the J48 algorithm as a classification task for data from women exhibiting changes in bone densitometry. The study population included all patients treated at the diagnostic center for bone densitometry since 2010. Census sample data collection was conducted as all elements of the population were included in the sample. The service in question provides care to patients via the Brazilian Unified Health System and private plans. The results of the classification task were analyzed using the J48 algorithm, and among the dichotomized variables associated with a diagnosis of osteoporosis, the mean accuracy was 74.0 (95% confidence interval [CI], 61.0-68.0) and the mean area under the curve of the receiver operating characteristic (ROC) curve was 0.65 (95% CI, 0.64-0.66), with a mean sensitivity of 76.0 (95% CI, 76.0-76.0) and a mean specificity of 48.0 (95% CI, 46.0-49.0). The analyzed results showed higher values of sensitivity, accuracy, and curve of the ROC area in experiments conducted with individuals with osteoporosis. Most of the generated rules were consistent with the literature, and the few differences might serve as hypotheses for further studies.

A Data Mining Approach to Identify Sexuality Patterns in a Brazilian University Population.

This paper presents the profile and experience of sexuality generated from a data mining classification task. We used a database about sexuality and gender violence performed on a university population in southern Brazil. The data mining task identified two relationships between the variables, which enabled the distinction of subgroups that better detail the profile and experience of sexuality. The identification of the relationships between the variables define behavioral models and factors of risk that will help define the algorithms being implemented in the data mining classification task.

A Comparative Study of Bayes Net, Naive Bayes and Averaged One-Dependence Estimators for Osteoporosis Analysis.

This paper presents an evaluation of the accuracy of the Bayesian classifiers: Bayes Net, Naive Bayes and Averaged One-Dependence Estimator, to support diagnoses of osteopenia and osteoporosis. All classifiers showed good results, thus, given data, it is possible to produce a reasonably accurate estimate of the diagnosis.