Generative AI for diabetologists: a concise tutorial on dataset analysis.
Yoshiyasu TakefujiPublished in: Journal of diabetes and metabolic disorders (2024)
The unsuccessful NT-proBNP regression may be due to insufficient training data or the need for additional determinants. The dataset may be too small or new metrics may be required to accurately predict NT-proBNP regression values. It is crucial for users to verify the generated codes to ensure that they can achieve their desired objectives.