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Ricardo Alves

1 paper indexed

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…

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