Sex determination based on craniometric parameters: a comparative approach between linear and non-linear machine learning algorithms

• Published in: Journal Archives of Health Vol. 5; no. 1; pp. 634 - 651
• Main Authors: Mota, Matheus Jhonnata Santos, Vieira, Alberto Calson Alves, Lima, Lucas Silva, Sátiro, João Victor Melquiades, Menezes Neto, Carlos Mathias de, Paixão, Patrízia Lisieux Prado, Lopes, Gabriel Pedro Gonçalves, Setton, Lauro Roberto de Azevedo, Andrade, Carlos Eduardo de, Cabral, Richard Halti
• Format: Journal Article
• Language: English
• Published: 03.04.2024

Introduction: Determining sex based on cranial characteristics is of great relevance in forensic anthropology. Most studies have employed linear methods (such as logistic regression) for this estimation with accuracies around 70%, rarely exceeding 90% accuracy. Several authors have tested non-linear...