Pais, R.J.; Botelho, J.; Machado, V.; Alcoforado, G.; Mendes, J.J.; Alves, R.; Bessa, L.J.
Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study. Diagnostics 2025, 15, 425.
https://doi.org/10.3390/diagnostics15040425
AMA Style
Pais RJ, Botelho J, Machado V, Alcoforado G, Mendes JJ, Alves R, Bessa LJ.
Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study. Diagnostics. 2025; 15(4):425.
https://doi.org/10.3390/diagnostics15040425
Chicago/Turabian Style
Pais, Ricardo Jorge, João Botelho, Vanessa Machado, Gil Alcoforado, José João Mendes, Ricardo Alves, and Lucinda J. Bessa.
2025. "Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study" Diagnostics 15, no. 4: 425.
https://doi.org/10.3390/diagnostics15040425
APA Style
Pais, R. J., Botelho, J., Machado, V., Alcoforado, G., Mendes, J. J., Alves, R., & Bessa, L. J.
(2025). Exploring AI-Driven Machine Learning Approaches for Optimal Classification of Peri-Implantitis Based on Oral Microbiome Data: A Feasibility Study. Diagnostics, 15(4), 425.
https://doi.org/10.3390/diagnostics15040425