TITLE:
Methodology for Constructing a Short-Term Event Risk Score in Heart Failure Patients
AUTHORS:
Kévin Duarte, Jean-Marie Monnez, Eliane Albuisson
KEYWORDS:
Ensemble Predictor, Linear Discriminant Analysis, Logistic Regression, Mixed Data, Scoring, Supervised Classification
JOURNAL NAME:
Applied Mathematics,
Vol.9 No.8,
August
29,
2018
ABSTRACT: We present a methodology for constructing a short-term event risk score in
heart failure patients from an ensemble predictor, using bootstrap samples,
two different classification rules, logistic regression and linear discriminant
analysis for mixed data, continuous or categorical, and random selection of
explanatory variables to build individual predictors. We define a measure of
the importance of each variable in the score and an event risk measure by an
odds-ratio. Moreover, we establish a property of linear discriminant analysis
for mixed data. This methodology is applied to EPHESUS trial patients on
whom biological, clinical and medical history variables were measured.