Machine Learning Classification of Palatal Salivary Gland Tumors Using Clinical and Demographic Descriptors.

Objective: To investigate the potential of machine learning systems for the clinical classification of palatal salivary gland tumors into five diagnostic categories using only demographic and clinical data. Methods: Four machine learning models—Multilayer Perceptron (MLP), Support Vector Machine (SV...

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Published in:	Oral Diseases Vol. 32; no. 2; pp. 454 - 462
Main Authors:	de Melo Tassinari, Luís Arthur, Araújo, Anna Luíza Damaceno, de Sousa‐Neto, Sebastião Silvério, Fonseca, Felipe Paiva, Mariz, Bruno Augusto Linhares Almeida, Martins, Manoela Domingues, de Andrade, Bruno Augusto Benevenuto, Agostini, Michelle, Pontes, Hélder Antônio Rebelo, Ribeiro, Ana Carolina Prado, Brandão, Thaís Bianca, Rocha, Andre Caroli, Lopes, Marcio Ajudarte, Vargas, Pablo Agustin, Kowalski, Luiz Paulo, Santos‐Silva, Alan Roger, Moraes, Matheus Cardoso
Format:	research tables/charts Journal Article
Published:	Wiley-Blackwell Feb2026
Online Access:	View this record in EBSCOhost