Everton Mendonça de Jesus

Universidade Federal da Bahia · Departamento de Ciência da Computação

Background: In infancy, males are at higher risk of dying than females. Birthweight and gestational age are potential confounders or mediators but are also familial and correlated, posing epidemiological challenges that can be addressed by studying male-female twin pairs. Methods: We studied 28 558 male-female twin pairs born in Brazil between 2...

Focus of Presentation Males and females differ substantially in their exposures and outcomes across the life-course. Previous research into sex differences has been limited by an inability to account for inter-individual differences in genetic factors and in their early-life environment. Studying within male-female twin pair differences offers a un...

Introduction Epidemiological studies of twin pairs provide researchers with the opportunity to better understand the roles of genetics and the environment on human traits and health conditions. Twin births are also of interest for public health, given they are five times more likely to be of low birth weight and preterm compared to singletons. Male...

Males and females differ substantially in morbidity and mortality since conception, and recent research has found sex differences in DNA methylation a critical risk factor for many cancers. However, the causes of such differences are still largely unknown. More importantly, sex differences detected in studies from unrelated individuals could be bia...

Introduction: Twins are a special cohort, as they offer researchers the opportunity to understand the roles of genetics and the environment on human traits and health conditions. Twin births are also of interest for public health, given they are five times more likely to be of low birth weight and preterm than singletons which puts them at much h...

Twin pair analysis is a valuable tool for assessing familial risk factors related to several outcomes, including diseases. Machine learning models are standard, powerful tools for prediction, although not fully suitable for twin pair analysis as most models are not able to account for the existing correlation between twin pairs. In this study, we h...

Record linkage (RL) is the process of identifying and linking data that relates to the same physical entity across multiple heterogeneous data sources. Deterministic linkage methods rely on the presence of a set of common uniquely identifying attributes across all sources while probabilistic approaches use non-unique attributes and calculates simil...

Record linkage (RL) is the process of identifying and linking data that relates to the same physical entity across multiple heterogeneous data sources. Deterministic linkage methods rely on the presence of common uniquely identifying attributes across all sources while probabilistic approaches use non-unique attributes and calculates similarity ind...

Virtual screening methodologies have been used to help drug researchers to discover new medicine. The goal of these methodologies is to work on the docking phase verifying which molecules interact with a specific protein. Typically, the number of molecules could be very large and, because of this, a great computational power is required to compare...