Craig Vandervelden

6PUBLICATIONS
25CO-AUTHORS
Pervasive computingAdolescent healthEpigenetics (incl. genome methylation and epigenomics)Curriculum and pedagogy theory and developmentEpidemiological modelling
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (6)

|Oct 18, 2025
Establishment of a Diabetes-Tailored Data Intelligence Platform Enhances Clinical Care, Enables Risk-Based Monitoring, and Facilitates Population-Health-Based Approaches at a Pediatric Diabetes Network.

Brent Lockee, Craig A Vandervelden, Daniel R Tilden

|Sep 25, 2025
Toward a Clinically Actionable, Electronic Health Record-Based Machine Learning Model to Forecast 90-Day Change in Hemoglobin A1c in Youth With Type 1 Diabetes: Feasibility and Model Development Study.

Erin M Tallon, David D Williams, Cintya Schweisberger

|Jan 06, 2025
Predicting and Ranking Diabetic Ketoacidosis Risk Among Youth with Type 1 Diabetes with a Clinic-to-Clinic Transferrable Machine Learning Model.

Craig Vandervelden, Brent Lockee, Mitchell Barnes

|May 08, 2024
Correlation Between the Glycemia Risk Index and Longitudinal Hemoglobin A1c in Children and Young Adults With Type 1 Diabetes.

Kelsey Panfil, Jacob M Redel, Craig A Vandervelden

|May 06, 2024
The Glycemia Risk Index Predicts Performance of Diabetes Self-Management Habits in Youth With Type 1 Diabetes Mellitus.

Kelsey Panfil, Craig A Vandervelden, Brent Lockee

|May 24, 2023
An "All-Data-on-Hand" Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study.

David D Williams, Diana Ferro, Colin Mullaney

Pageof 1

Frequent Collaborators

6 joint publications

David D Williams

5 joint publications

Brent Lockee

5 joint publications

Erin M Tallon

4 joint publications

Mark A Clements