Knowledge extraction in a population suffering from heart failure

Dimitris Gatsios, John Garofalakis, Theodora Chrysanthakopoulou, Evanthia Tripoliti, Renata De Maria, Maria Grazia Franzosi, Boris Schmitz, Stefan Martin Brand, Oberdan Parodi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.

Original languageEnglish
Title of host publicationProceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB
DOIs
Publication statusPublished - 2010
Event10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010 - Corfu, Greece
Duration: Nov 2 2010Nov 5 2010

Other

Other10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010
CountryGreece
CityCorfu
Period11/2/1011/5/10

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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