Knowledge extraction in a population suffering from heart failure

The prevalence of heart failure is 2-3% of the general population and affects millions of people. In recent years, considerable progress has been made decoding the pathophysiology of this multi-factorial trait. Still the search for new variables with significant impact on the development of heart failure is an ongoing process. As part of the VPH2 project, a data mining study was conducted aiming specifically at extracting new knowledge from a population suffering from heart failure In particular, the population consists of patients suffering from post-mitral infarction development of myocardial remodelling. The aim of the study was to apply data mining methodologies in order to classify the patients in those who developed late onset heart failure against those that did not develop the trait. Data derived from a multiple genetic variant analysis added predictive value to this study. The methodology followed, the results and the clinically important findings are presented in this work.