Published on in Vol 6, No 4 (2018): Oct-Dec
![Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record Predicting Current Glycated Hemoglobin Values in Adults: Development of an Algorithm From the Electronic Health Record](https://asset.jmir.pub/assets/305e582089aaa3b353c85352bd95cc3c.png 480w,https://asset.jmir.pub/assets/305e582089aaa3b353c85352bd95cc3c.png 960w,https://asset.jmir.pub/assets/305e582089aaa3b353c85352bd95cc3c.png 1920w,https://asset.jmir.pub/assets/305e582089aaa3b353c85352bd95cc3c.png 2500w)
1 Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, United States
2 Department of Physiology and Pharmacology, Wake Forest University School of Medicine, Winston-Salem, NC, United States
3 Clinical and Translational Science Institute, Wake Forest University School of Medicine, Winston-Salem, NC, United States
4 Department of Internal Medicine, Loyola University Medical Center, Maywood, IL, United States
5 Endocrinology and Metabolism Institute, Department of Endocrinology, Diabetes and Metabolism, Cleveland Clinic, Cleveland, OH, United States
6 Lerner Research Institute, Department of Quantitative Health Sciences, Cleveland Clinic, Cleveland, OH, United States