Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47430, first published .
The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

The Reporting Quality of Machine Learning Studies on Pediatric Diabetes Mellitus: Systematic Review

Zsombor Zrubka   1 , MBA, MD, PhD ;   Gábor Kertész   2 , PhD ;   László Gulácsi   1 , MD, DSC ;   János Czere   3 , MSc ;   Áron Hölgyesi   1, 4 , DPharm ;   Hossein Motahari Nezhad   1, 5 , PhD ;   Amir Mosavi   2 , PhD ;   Levente Kovács   6 , PhD ;   Atul J Butte   7 , MD, PhD ;   Márta Péntek   1 , MD, DSC

1 HECON Health Economics Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary

2 John von Neumann Faculty of Informatics, Óbuda University, Budapest, Hungary

3 Doctoral School of Innovation Management, Óbuda University, Budapest, Hungary

4 Doctoral School of Molecular Medicine, Semmelweis University, Budapest, Hungary

5 Doctoral School of Business and Management, Corvinus University of Budapest, Budapest, Hungary

6 Physiological Controls Research Center, University Research and Innovation Center, Óbuda University, Budapest, Hungary

7 Bakar Computational Health Sciences Institute, University of California, San Francisco, CA, United States

Corresponding Author:

  • Zsombor Zrubka, MBA, MD, PhD
  • HECON Health Economics Research Center
  • University Research and Innovation Center
  • Óbuda University
  • Bécsi út 96/b
  • Budapest, 1034
  • Hungary
  • Phone: 36 302029415
  • Email: zrubka.zsombor@uni-obuda.hu