Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysis

Rodrigo Yáñez-SepúlvedaAldo Vásquez-BonillaOlivares, RodrigoRodrigoOlivaresOlivares, PabloPabloOlivaresJuan Pablo Zavala-CrichtonClaudio Hinojosa-TorresCatalina Muñoz-StraleFrano Giakoni-RamírezJosivaldo de Souza-LimaJacqueline Páez-HerreraJorge Olivares-ArancibiaTomás Reyes-AmigoGuillermo Cortés-RocoJuan Hurtado-AlmonacidEduardo Guzmán-MuñozNicole Aguilera-MartínezJosé Francisco López-GilBoryi A. Becerra-PatiñoJuan David Paucar-UribeExal Garcia-CarrilloVicente Javier Clemente-Suárez2026-02-242026-02-242025-08-2110.1038/s41598-025-15264-6https://cris-uv-2.scimago.es/handle/123456789/8481Supervised machine learning algorithms for the classification of obesity levels using anthropometric indices derived from bioelectrical impedance analysisjournal-article