Improved Functional Causal Likelihood-Based Causal Discovery Method for Diabetes Risk Factors.

ABSTRACT: Diabetes mellitus is a disease that has reached epidemic proportions globally in recent years. Consequently, the prevention and treatment of diabetes have become key social challenges. Most of the research on diabetes risk factors has focused on correlation analysis with little investigation into the causality of these risk factors. However, understanding the causality is also essential to preventing the disease. In this study, a causal discovery method for diabetes risk factors was developed based on an improved functional causal likelihood (IFCL) model. Firstly, the issue of excessive redundant and false edges in functional causal likelihood structures was resolved through the construction of an IFCL model using an adjustment threshold value. On this basis, an IFCL-based causal discovery

SUBMITTER: Gao X 

PROVIDER: S-EPMC8143882 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature