crossrefDiagnostics2025-02-10Cited by 10
Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study
Ricardo Jorge Pais, João Botelho, Vanessa Machado, Gil Alcoforado, José João Mendes, Ricardo Alves, et al.
Background: Machine learning (ML) techniques have been recently proposed as a solution for aiding in the prevention and diagnosis of microbiome-related diseases. Here, we applied auto-ML approaches on real-case metagenomic datasets from saliva and subgingival peri-implant biofilm…