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

• Główni autorzy: Zsombor Zrubka (Autor), Gábor Kertész (Autor), László Gulácsi (Autor), János Czere (Autor), Áron Hölgyesi (Autor), Hossein Motahari Nezhad (Autor), Amir Mosavi (Autor), Levente Kovács (Autor), Atul J Butte (Autor), Márta Péntek (Autor)
• Format: Książka
• Wydane: JMIR Publications, 2024-01-01T00:00:00Z.
• Hasła przedmiotowe: article
• Dostęp online: Connect to this object online.

BackgroundDiabetes mellitus (DM) is a major health concern among children with the widespread adoption of advanced technologies. However, concerns are growing about the transparency, replicability, biasedness, and overall validity of artificial intelligence studies in medicine. ObjectiveWe aimed to...