Pilot-Study to Explore Metabolic Signature of Type 2 Diabetes: A Pipeline of Tree-Based Machine Learning and Bioinformatics Techniques for Biomarkers Discovery.

Fatma Hilal YagınFahaid Al-HashemIrshad A AhmadFuzail AhmadAbedalrhman Alkhateeb
Published in: Nutrients (2024)
ML integrated with bioinformatics techniques offers accurate and positive T2D candidate biomarker discovery. The XGBoost model can successfully distinguish T2D based on metabolites.