Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters
The newly developed prediction model introduces a novel and promising approach, providing valuable insights into distinguishing between periodontitis and acute appendicitis. These findings highlight the potential to improve diagnostic accuracy and support informed clinical decision-making in patients presenting with both conditions, offering new avenues for optimizing patient care strategies.
Authors
- Carlos M. Ardila (ORCID: https://orcid.org/0000-0002-3663-1416)
- Prabhu Manickam Natarajan (ORCID: https://orcid.org/0000-0002-4780-0465)
- Pradeep Kumar Yadalam (ORCID: https://orcid.org/0000-0002-6653-4123)
- Prathiksha Vedhavalli Thirukkumaran
Institutions
- Ajman University (AE)
- Universidad de Antioquia (CO)
- Universidad de Medellín (CO)
- Saveetha University (IN)
Publication Details
- Journal
- Frontiers in Oral Health
- Published
- 2024-09-13
- DOI
- https://doi.org/10.3389/froh.2024.1462873
- Citations
- 4
- Primary Topic
- Appendicitis Diagnosis and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.76
Funders
- Ajman University