Generative AI for diabetologists: a concise tutorial on dataset analysis

ConclusionsThe 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.
Source: Journal of Diabetes and Metabolic Disorders - Category: Endocrinology Source Type: research