Machine Learning Strategy for Gut Microbiome-Based Diagnostic Screening of Cardiovascular Disease.

ABSTRACT: Cardiovascular disease (CVD) is the number one leading cause for human mortality. Besides genetics and environmental factors, in recent years, gut microbiota has emerged as a new factor influencing CVD. Although cause-effect relationships are not clearly established, the reported associations between alterations in gut microbiota and CVD are prominent. Therefore, we hypothesized that machine learning (ML) could be used for gut microbiome-based diagnostic screening of CVD. To test our hypothesis, fecal 16S ribosomal RNA sequencing data of 478 CVD and 473 non-CVD human subjects collected through the American Gut Project were analyzed using 5 supervised ML algorithms including random forest, support vector machine, decision tree, elastic net, and neural networks. Thirty-nine differential bact

SUBMITTER: Aryal S 

PROVIDER: S-EPMC7577586 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature