Predicting High Blood Pressure Using DNA Methylome-Based Machine Learning Models.

ABSTRACT: DNA methylation modification plays a vital role in the pathophysiology of high blood pressure (BP). Herein, we applied three machine learning (ML) algorithms including deep learning (DL), support vector machine, and random forest for detecting high BP using DNA methylome data. Peripheral blood samples of 50 elderly individuals were collected three times at three visits for DNA methylome profiling. Participants who had a history of hypertension and/or current high BP measure were considered to have high BP. The whole dataset was randomly divided to conduct a nested five-group cross-validation for prediction performance. Data in each outer training set were independently normalized using a min-max scaler, reduced dimensionality using principal component analysis, then fed into three predicti

SUBMITTER: Nguyen TM 

PROVIDER: S-EPMC9220060 | biostudies-literature | 2022 Jun

REPOSITORIES: biostudies-literature