Sex estimation from the greater sciatic notch: a comparison of classical statistical models and machine learning algorithms

Autor: Frédéric Santos, Caroline Bernardi, Gérald Quatrehomme, Siam Knecht, Luísa Nogueira, Véronique Alunni, Maël Servant

Publikováno v: International Journal of Legal Medicine
International Journal of Legal Medicine, Springer Verlag, 2021, 135 (6), pp.2603-2613. ⟨10.1007/s00414-021-02700-1⟩
International Journal of Legal Medicine, 2021, 135 (6), pp.2603-2613. ⟨10.1007/s00414-021-02700-1⟩

The greater sciatic notch (GSN) is a useful element for sex estimation because it is quite resistant to damage, and thus it can often be assessed even in poorly preserved skeletons. This study aimed to develop statistical models for sex estimation ba

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::04cd77c91817e9fc69e4da871662a6d3
https://hal.archives-ouvertes.fr/hal-03479407