DiaData integrates 15 T1D datasets into a unified resource with 2510 subjects, 149 million 5-minute glucose measurements (4% hypoglycemic), and sub-databases for demographics and heart rate.
Recommendations for the creation of benchmark datasets for reproducible artificial in- telligence in radiology
2 Pith papers cite this work, alongside 34 external citations. Polarity classification is still indexing.
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Using GPT-5.4 to clean labels in the CT-RATE chest CT dataset revealed 3.6% discordance with original labels, with radiologists supporting the LLM labels in 74-92% of reviewed cases.
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Presenting DiaData for Research on Type 1 Diabetes
DiaData integrates 15 T1D datasets into a unified resource with 2510 subjects, 149 million 5-minute glucose measurements (4% hypoglycemic), and sub-databases for demographics and heart rate.