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

1 Citation (Scopus)

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

Fingerprint

Data mining
Decoding
Predictive analytics

ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

Cite this

Gatsios, D., Garofalakis, J., Chrysanthakopoulou, T., Tripoliti, E., De Maria, R., Franzosi, M. G., ... Parodi, O. (2010). Knowledge extraction in a population suffering from heart failure. In Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB [5687684] https://doi.org/10.1109/ITAB.2010.5687684

Knowledge extraction in a population suffering from heart failure. / Gatsios, Dimitris; Garofalakis, John; Chrysanthakopoulou, Theodora; Tripoliti, Evanthia; De Maria, Renata; Franzosi, Maria Grazia; Schmitz, Boris; Brand, Stefan Martin; Parodi, Oberdan.

Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB. 2010. 5687684.

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

Gatsios, D, Garofalakis, J, Chrysanthakopoulou, T, Tripoliti, E, De Maria, R, Franzosi, MG, Schmitz, B, Brand, SM & Parodi, O 2010, Knowledge extraction in a population suffering from heart failure. in Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB., 5687684, 10th International Conference on Information Technology and Applications in Biomedicine: Emerging Technologies for Patient Specific Healthcare, ITAB 2010, Corfu, Greece, 11/2/10. https://doi.org/10.1109/ITAB.2010.5687684
Gatsios D, Garofalakis J, Chrysanthakopoulou T, Tripoliti E, De Maria R, Franzosi MG et al. Knowledge extraction in a population suffering from heart failure. In Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB. 2010. 5687684 https://doi.org/10.1109/ITAB.2010.5687684
Gatsios, Dimitris ; Garofalakis, John ; Chrysanthakopoulou, Theodora ; Tripoliti, Evanthia ; De Maria, Renata ; Franzosi, Maria Grazia ; Schmitz, Boris ; Brand, Stefan Martin ; Parodi, Oberdan. / Knowledge extraction in a population suffering from heart failure. Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB. 2010.
@inproceedings{854d17bc2d624d91ad427b2eb210ab02,
title = "Knowledge extraction in a population suffering from heart failure",
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.",
author = "Dimitris Gatsios and John Garofalakis and Theodora Chrysanthakopoulou and Evanthia Tripoliti and {De Maria}, Renata and Franzosi, {Maria Grazia} and Boris Schmitz and Brand, {Stefan Martin} and Oberdan Parodi",
year = "2010",
doi = "10.1109/ITAB.2010.5687684",
language = "English",
isbn = "9781424465606",
booktitle = "Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB",

}

TY - GEN

T1 - Knowledge extraction in a population suffering from heart failure

AU - Gatsios, Dimitris

AU - Garofalakis, John

AU - Chrysanthakopoulou, Theodora

AU - Tripoliti, Evanthia

AU - De Maria, Renata

AU - Franzosi, Maria Grazia

AU - Schmitz, Boris

AU - Brand, Stefan Martin

AU - Parodi, Oberdan

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=79951597147&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=79951597147&partnerID=8YFLogxK

U2 - 10.1109/ITAB.2010.5687684

DO - 10.1109/ITAB.2010.5687684

M3 - Conference contribution

AN - SCOPUS:79951597147

SN - 9781424465606

BT - Proceedings of the IEEE/EMBS Region 8 International Conference on Information Technology Applications in Biomedicine, ITAB

ER -