Publications by authors named "Ewaldo Eder Carvalho Santana"
Prediction of metabolic syndrome and its associated risk factors in patients with chronic kidney disease using machine learning techniques.
J Bras Nefrol
August 2024
Introduction: Chronic kidney disease (CKD) and metabolic syndrome (MS) are recognized as public health problems which are related to overweight and cardiometabolic factors. The aim of this study was to develop a model to predict MS in people with CKD.
Methods: This was a prospective cross-sectional study of patients from a reference center in São Luís, MA, Brazil.
Missing data is a prevalent problem that requires attention, as most data analysis techniques are unable to handle it. This is particularly critical in Multi-Label Classification (MLC), where only a few studies have investigated missing data in this application domain. MLC differs from Single-Label Classification (SLC) by allowing an instance to be associated with multiple classes.
View Article and Find Full Text PDFIn this paper, a bioinspired method in the magnetic field memory of the bees, applied in a rover of precision pollination, is presented. The method calculates sharpness features by entropy and variance of the Laplacian of images segmented by color in the HSV system in real-time. A complementary positioning method based on area feature extraction between active markers was developed, analyzing color characteristics, noise, and vibrations of the probe in time and frequency, through the lateral image of the probe.
View Article and Find Full Text PDFBackground: The health benefits associated with moderate wine consumption, as with ethanol and phenolic compounds, include different mechanisms still little understandable.
Aim: Evaluate glycemic and weight variations, and the deposit of triglycerides, cholesterol and liver glycogen with red wine consumption.
Methods: 60 ApoE knockout mice were divided into three groups of 20: Wine Group (WG), Ethanol Group (EG) and Water Group (WAG).