Classifying Type 2 Diabetes Using N-Glycan Profiling and Machine Learning Algorithms
N-glycan profiling combined with machine learning provides a promising approach for early T2D detection. The Extra Trees Classifier showed exceptional predictive performance, warranting further investigation with larger datasets to validate its clinical applicability.
Authors
- László Korányi (ORCID: https://orcid.org/0000-0002-5733-9350)
- Márta Vitai
- Gábor Járvás (ORCID: https://orcid.org/0000-0002-9289-6304)
- Rebeka Torok
- András Guttman (ORCID: https://orcid.org/0000-0002-7838-082X)
- Ágnes Vathy-Fogarassy (ORCID: https://orcid.org/0000-0002-5524-1675)
- Veronika Gombas
Institutions
- University of Debrecen (HU)
- University of Pannonia (HU)
Publication Details
- Journal
- Studies in health technology and informatics
- Published
- 2025-04-24
- DOI
- https://doi.org/10.3233/shti250166
- Primary Topic
- Metabolomics and Mass Spectrometry Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Debreceni Egyetem
- Medical Research Council
- Nemzeti Kutatási, Fejlesztési és Innovaciós Alap
- National Research, Development and Innovation Office