• Author: Mulugeta Gebregziabher
Clear all

Use of machine learning for early prediction of short-term mortality in Veterans with metabolic dysfunction-associated steatotic liver disease

Abstract: Background: Metabolic dysfunction associated steatotic liver disease (MASLD) is a leading cause of chronic liver disease worldwide and affects >25% in the United States …

Glycemic control and prostate cancer mortality risk in Veterans with type 2 diabetes mellitus

Abstract: This retrospective cohort study of veterans diagnosed with diabetes mellitus evaluated the association between time-varying measures of glycemic control and the time to …

Impact of race and ethnicity on severe hypoglycemia associated with sulfonylurea use for type 2 diabetes among Veterans

Abstract: Sulfonylureas are associated with hypoglycemia. Whether a racial/ethnic disparity in this safety outcome exists is unknown. We sought to assess the impact of …

Sulfonylureas as second line therapy for type 2 diabetes among veterans: Results from a National Longitudinal Cohort Study

Abstract: Aims: To assess if switching to or adding sulfonylureas increases major adverse cardiovascular events (MACE) or severe hypoglycemia versus remaining on metformin alone. …

Advanced models for improved prediction of opioid-related overdose and suicide events among Veterans using administrative healthcare data

Abstract: Veterans suffer disproportionate health impacts from the opioid epidemic, including overdose, suicide, and death. Prediction models based on electronic medical record …