Machine learning models for identifying prediabetes: a systematic review of performance, validation, and implications for primary care
Background Machine learning models have been proposed for identifying prediabetes, but their methodological quality, generalisability, and readiness for primary care implementation remain uncertain. Methods We conducted a Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020-compliant systema...