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Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study

2025-01-07

Abstract excerpt

<h4>Background: </h4> 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 microbiomes to explore a wide range of ML algorithms to benchmark best-performing algorithms for predicting peri-implantitis (...

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Literature Corpus work: 8155bb90-49ee-5194-8590-4e4e507f19c4
DOI: 10.20944/preprints202501.0529.v1

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