Description: This publication aims to develop a DiCAYA-wide EHR-based computable phenotype (CP) to identify prevalent cases of diabetes.

Citation: Shao, H., Thorpe, L. E., Islam, S., Bian, J., Guo, Y., Li, P., Bost, S., Dabelea, D., Conway, R., Crume, T., Schwartz, B. S., Hirsch, A. G., Allen, K. S., Dixon, B. E., Grannis, S. J., Lustigova, E., Reynolds, K., Rosenman, M., Zhong, V. W., Wong, A., … DiCAYA Study Group (2025). Developing a Computable Phenotype for Identifying Children, Adolescents, and Young Adults With Diabetes Using Electronic Health Records in the DiCAYA Network. Diabetes care, 48(6), 914–921. https://doi.org/10.2337/dc24-1972