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

Digital Health Reviews (1883) Adoption and Change Management of eHealth Systems (990) Quality Improvement (314) Digital Health Reporting Standards, Quality and Transparency in e-Research (164) Machine Learning (2316) Development and Evaluation of Research Methods, Instruments and Tools (858) Artificial Intelligence (2469)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/47430, first published .
Hand holding blood glucose meter showing 62 mmol/L on screen

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

Authors of this article:

Zsombor Zrubka1 Author Orcid Image ;   Gábor Kertész2 Author Orcid Image ;   László Gulácsi1 Author Orcid Image ;   János Czere3 Author Orcid Image ;   Áron Hölgyesi1, 4 Author Orcid Image ;   Hossein Motahari Nezhad1, 5 Author Orcid Image ;   Amir Mosavi2 Author Orcid Image ;   Levente Kovács6 Author Orcid Image ;   Atul J Butte7 Author Orcid Image ;   Márta Péntek1 Author Orcid Image
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