This paper is in the following e-collection/theme issue:

Artificial Intelligence in Diabetes Care and Prevention (22) Clinical Information and Decision Making (1328) Machine Learning (1383) Decision Support for Health Professionals (1136) Artificial Intelligence (1194) Artificial Intelligence (120)

Published on in Vol 8 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47592, first published .
An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study

An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study

An “All-Data-on-Hand” Deep Learning Model to Predict Hospitalization for Diabetic Ketoacidosis in Youth With Type 1 Diabetes: Development and Validation Study

Authors of this article:

David D Williams1 Author Orcid Image ;   Diana Ferro2, 3 Author Orcid Image ;   Colin Mullaney4 Author Orcid Image ;   Lydia Skrabonja4 Author Orcid Image ;   Mitchell S Barnes2 Author Orcid Image ;   Susana R Patton5 Author Orcid Image ;   Brent Lockee2 Author Orcid Image ;   Erin M Tallon2 Author Orcid Image ;   Craig A Vandervelden2 Author Orcid Image ;   Cintya Schweisberger2 Author Orcid Image ;   Sanjeev Mehta6 Author Orcid Image ;   Ryan McDonough2 Author Orcid Image ;   Marcus Lind7, 8, 9 Author Orcid Image ;   Leonard D'Avolio4 Author Orcid Image ;   Mark A Clements2 Author Orcid Image
Article Authors Cited by (5) Tweetations (2) Metrics

David D Williams   1 , MPH ;   Diana Ferro   2, 3 , PhD ;   Colin Mullaney   4 , BS ;   Lydia Skrabonja   4 , BS ;   Mitchell S Barnes   2 , BS ;   Susana R Patton   5 , CDCES, PhD ;   Brent Lockee   2 , BS ;   Erin M Tallon   2 , RN, PhD ;   Craig A Vandervelden   2 , PhD ;   Cintya Schweisberger   2 , DO ;   Sanjeev Mehta   6 , MPH, MD ;   Ryan McDonough   2 , DO ;   Marcus Lind   7, 8, 9 , MD, PhD ;   Leonard D'Avolio   4 , PhD ;   Mark A Clements   2 , MD, PhD

1 Health Services and Outcomes Research, Children's Mercy - Kansas City, Kansas City, MO, United States

2 Department of Endocrinology, Children's Mercy - Kansas City, Kansas City, MO, United States

3 IRCCS, Bambino Gesù Children's Hospital, Rome, Italy

4 Cyft, Inc, Cambridge, MA, United States

5 Center for Healthcare Delivery Science, Nemours Children's Health, Jacksonville, FL, United States

6 Joslin Diabetes Center, Boston, MA, United States

7 Department of Medicine, NU-Hospital Group, Uddevalla, Sweden

8 Department of Molecular and Clinical Medicine, University of Gothenburg, Gothenburg, Sweden

9 Department of Internal Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden

Corresponding Author:

  • David D Williams, MPH
  • Health Services and Outcomes Research
  • Children's Mercy - Kansas City
  • 2401 Gillham Road
  • Kansas City, MO, 64108
  • United States
  • Phone: 1 816 731 7214
  • Email: ddwilliams@cmh.edu