Machine learning-based prediction of elevated N terminal pro brain natriuretic peptide among US general population.

ABSTRACT:

Aims

Natriuretic peptide-based pre-heart failure screening has been proposed in recent guidelines. However, an effective strategy to identify screening targets from the general population, more than half of which are at risk for heart failure or pre-heart failure, has not been well established. This study evaluated the performance of machine learning prediction models for predicting elevated N terminal pro brain natriuretic peptide (NT-proBNP) levels in the US general population.

Methods and results

Individuals aged 20-79 years without cardiovascular disease from the nationally representative National Health and Nutrition Examination Survey 1999-2004 were included. Six prediction models (two conventional regression models and four machine learning models) were trained with t

SUBMITTER: Mori Y 

PROVIDER: S-EPMC11911594 | biostudies-literature | 2025 Apr

REPOSITORIES: biostudies-literature