In the last three decades, big data has been applied to diverse fields, such as the
government, international development, and education. It is only now that the US healthcare …

Background Increasing digitalisation in the medical domain gives rise to large amounts of
healthcare data which has the potential to expand clinical knowledge and transform patient …

Clinical patient registries, such as the pediatric congenital heart surgery registry, are
designed to collect large amounts of varied clinical, administrative, and demographic data …

Clinical research is a way of doing research that is primarily aimed to solve a human health
and/or ailment-related problem. However, clinical research is complex and involves factors …

L'implémentation des logiciels médicaux au cours des dernières décennies a généré une
quantité importante de données cliniques, stockées au format électronique. Ces logiciels, et …

Abstract According to the Global Burden of Disease Study, in the past 20 years,
cardiovascular disease (CVD) has consistently ranked as the leading cause of human death …

The study was primarily undertaken to establish the conceptual modeling and
implementation of Data Warehousing tools through existing demographic and …

Modeling any type of human knowledge is a complex effort and needs to consider all
specificities of its domain including niche vocabulary. This thesis focuses on such an …

The emergence of new data-and algorithm-driven analysis methods is revolutionizing many
areas of research and enabling solutions to problems that were previously considered …

Understanding and predicting hospital readmission has been of interest for more than three
decades. To strategically place readmission reduction resources where most beneficial …