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

ABSTRACT:

Background

Diabetes 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.

Objective

We aimed to systematically review the reporting quality of machine learning (ML) studies of pediatric DM using the Minimum Information About Clinical Artificial Intelligence Modelling (MI-CLAIM) checklist, a general reporting guideline for medical artificial intelligence studies.

Methods

We searched the PubMed and Web of Science databases from 2016 to 2020. Studies were included if the use of ML was reported in children with DM aged 2 to 18 years, including studies on complications,

SUBMITTER: Zrubka Z 

PROVIDER: S-EPMC10837761 | biostudies-literature | 2024 Jan

REPOSITORIES: biostudies-literature