Pragmatic screening for heart failure in the general population using an electrocardiogram-based neural network.

ABSTRACT:

Aims

We aim to develop a pragmatic screening tool for heart failure at the general population level.

Methods and results

This study was conducted within the Hamburg-City-Health-Study, an ongoing, prospective, observational study enrolling randomly selected inhabitants of the city of Hamburg aged 45-75 years. Heart failure was diagnosed per current guidelines. Using only digital electrocardiograms (ECGs), a convolutional neural network (CNN) was built to discriminate participants with and without heart failure. As comparisons, known risk variables for heart failure were fitted into a logistic regression model and a random forest classifier. Of the 5299 individuals included into this study, 318 individuals (6.0%) had heart failure. Using only the digital ECGs instead of severa

SUBMITTER: Surendra K 

PROVIDER: S-EPMC10053173 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature