Quantile regression has emerged as an essential statistical tool of contemporary empirical economics and biostatistics. Complementing classical least squares regression methods which are designed to estimate conditional mean models, quantile regression provides an ensemble of techniques for...

We propose a method to decompose the changes in the wage distribution over a period of time in several factors contributing to those changes. The method is based on the estimation of marginal wage distributions consistent with a conditional distribution estimated by quantile regression as well...

With a constant increasing in the health expenses and the aggravation of the global economic situation, managing costs and resources in healthcare is nowadays an essential point in the management of hospitals. The goal of this work is to apply clustering techniques to data collected in real-time...

Hospital inpatient care compromises one of the most demanding services in health institutions for providing a careful and continuous healthcare assistance. Such demands require a constant update of the patients' health record allied with support systems responsible for monitoring their clinical...

This paper presents the evaluation of a Pervasive Intelligent Decision Support System in Intensive Medicine making use of Technology Acceptance Model 3 (TAM3). Two rounds of questionnaires were distributed and compared. The work is based on a discursive evaluation of a method employed to assess...

This study has the objective of introducing an innovative way of presenting and representing information concerning patients in Intensive Care Units. Therefore, the Pervasive Patient Timeline, which has the purpose of offering support to intensivists' decision-making process, by providing access...