The Association of Periodontal Inflammation and Systemic Health Indicators: A Machine Learning Approach.

ABSTRACT:

Aim

The relationship between oral and systemic inflammation has profound implications for understanding the broader health impacts of periodontitis. The aim of this study was to (a) explore the association between periodontal inflammation and markers of systemic inflammation and metabolic health, and (b) preliminarily assess periodontal status based on systemic health indicators using machine learning techniques.

Methods

Data from a cross-sectional cohort (N = 667) were modelled (simple/multiple linear, fractional polynomial, logistic and random forest regression) to examine the association between systemic and periodontal measures. Three classifiers-random forest (RF), support vector machine (SVM) and gradient boosting (GB)-were used using periodontal inflamed surface area

SUBMITTER: Yan Y 

PROVIDER: S-EPMC12420081 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature