Environmental chemical exposures and a machine learning-based model for predicting hypertension in NHANES 2003-2016.

ABSTRACT:

Background

Hypertension is a common disease, often overlooked in its early stages due to mild symptoms. And persistent elevated blood pressure can lead to adverse outcomes such as coronary heart disease, stroke, and kidney disease. There are many risk factors that lead to hypertension, including various environmental chemicals that humans are exposed to, which are believed to be modifiable risk factors for hypertension.

Objective

To investigate the role of environmental chemical exposures in predicting hypertension.

Methods

A total of 11,039 eligible participants were obtained from NHANES 2003-2016, and multiple imputation was used to process the missing data, resulting in 5 imputed datasets. 8 Machine learning algorithms were applied to the 5 imputed datasets to esta

SUBMITTER: Guo K 

PROVIDER: S-EPMC11462799 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature