Manoj S. Kambara

This paper uses explainable machine learning to identify and quantify T2D risk factors contributing to health disparities among different racial and ethnic groups in the All of Us research program.

The paper develops inverse probability weights to reduce volunteer bias in the All of Us cohort, improving its representativeness and external validity.