Khongorzul Dashdondov

An Anomaly-Aware Analysis of Metabolic Heterogeneity in Diabetes Risk During and After COVID-19

Diabetes risk differs substantially among individuals, and some of this variation may be missed when atypical observations are removed during data pre-processing.We examined whether these observations provide useful information for characterising diabetes-related risks before, du...

Assessing diabetes risk factors using explainable AI and SMOTEENN: a nutrition-based analysis in South Korea

The coronavirus disease (COVID-19) pandemic has influenced diabetes risk and management at the population level, underscoring the need for interpretable and data-driven risk assessment approaches. We developed an explainable machine learning framework integrating the KNHANES and...