Area of research
Sociology and Political Science · Language and Linguistics
Research interest
Research focused on Mendelian randomization and Cross-sectional study, with related work in Pharmacovigilance, Miscarriage, Diabetes mellitus. Notable publications include 'Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: a cross-sectional survey and Mendelian randomization analysis', 'Risk assessment of drug-associated miscarriage using XGBoost and SHAP explainability: a real-world pharmacovigilance analysis based on the FAERS database', and 'Assessing the risk of acute kidney injury associated with a four-drug regimen for heart failure: a ten-year real-world pharmacovigilance analysis based on FAERS events'.
Risk assessment of drug-associated miscarriage using XGBoost and SHAP explainability: a real-world pharmacovigilance analysis based on the FAERS database
Assessing the risk of acute kidney injury associated with a four-drug regimen for heart failure: a ten-year real-world pharmacovigilance analysis based on FAERS events
Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: a cross-sectional survey and Mendelian randomization analysis
Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: A Cross-Sectional Survey and Mendelian Randomization Analysis