Exploring the risk factors and clustering patterns of periodontitis in patients with different subtypes of diabetes through machine learning and cluster analysis
Machine learning combined with consensus clustering analysis revealed a greater prevalence of periodontitis among patients with diabetes mellitus in Cluster B. This cluster was characterized by a smoking habit, a lower education level, a higher income-to-poverty ratio, and higher levels of albumin (ALB g/L) and alanine aminotransferase (ALT U/L).
Authors
- Yuxiang Chen (ORCID: https://orcid.org/0000-0003-1458-5743)
- Ziliang Li (ORCID: https://orcid.org/0000-0002-2080-1361)
- Tingting Chen (ORCID: https://orcid.org/0000-0003-0956-8869)
- Anna Zhao
- Xianqi Rao
- Haoran Yang (ORCID: https://orcid.org/0000-0001-7579-0738)
Institutions
- Kunming Medical University (CN)
- Stomatology Hospital (CN)
Publication Details
- Journal
- Acta Odontologica Scandinavica
- Published
- 2024-12-03
- DOI
- https://doi.org/10.2340/aos.v83.42435
- Citations
- 5
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 2.00
Funders
- National Natural Science Foundation of China