Predictive Tools to Evaluate Cardiovascular Events in Chronic Heart Failure Patients

Maria Carmela Groccia, Rosita Guido, Domenico Conforti, Angela Sciacqua

2022

Abstract

In this paper, a Knowledge Discovery task has been implemented with the aim of developing models for predicting cardiovascular worsening events in Chronic Heart Failure (CHF) patients. A set of patients suffering from CHF were enrolled and carefully evaluated through a five-year follow-up. Several predictive models were developed on the collected data and then compared. Among these, the decision tree based predictive model has been analysed by clinical experts. The decision tree is among all the trained and tested models the most simple and interpretable mainly by clinicians because it discovers if-then rules. The extracted rules are compliant with previous clinical studies. Nevertheless, the decision tree achieved lower performance compared to the other predictive models, which conversely to the decision tree are not “clinician friendly” because they do not provide an explanation of the classification decisions.

Paper Citation

in Harvard Style

Groccia M., Guido R., Conforti D. and Sciacqua A. (2022). Predictive Tools to Evaluate Cardiovascular Events in Chronic Heart Failure Patients. In Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF; ISBN 978-989-758-552-4, SciTePress, pages 475-481. DOI: 10.5220/0010829900003123

in Bibtex Style

@conference{healthinf22,
author={Maria Carmela Groccia and Rosita Guido and Domenico Conforti and Angela Sciacqua},
title={Predictive Tools to Evaluate Cardiovascular Events in Chronic Heart Failure Patients},
booktitle={Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF},
year={2022},
pages={475-481},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010829900003123},
isbn={978-989-758-552-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2022) - Volume 5: HEALTHINF
TI - Predictive Tools to Evaluate Cardiovascular Events in Chronic Heart Failure Patients
SN - 978-989-758-552-4
AU - Groccia M.
AU - Guido R.
AU - Conforti D.
AU - Sciacqua A.
PY - 2022
SP - 475
EP - 481
DO - 10.5220/0010829900003123
PB - SciTePress