Obesity awareness in Latin America in health centers using a decision tree

• Autores: Chuctaya Ruiz, Diego Moises, Condori Villalba, Luis Pablo, Ramos Ticona, Gilbert Wil, Santos Adilson, Esteba Cruz
• Formato: artículo
• Fecha de Publicación: 2024
• Institución: Universidad La Salle
• Repositorio: Revistas - Universidad La Salle
• Lenguaje: español
• OAI Identifier: oai:ojs.revistas.ulasalle.edu.pe:article/156
• Enlace del recurso: https://revistas.ulasalle.edu.pe/innosoft/article/view/156; https://doi.org/10.48168/innosoft.s15.a156; https://purl.org/42411/s15/a156; https://n2t.net/ark:/42411/s15/a156
• Nivel de acceso: acceso abierto
• Materia: Artificial Intelligence; obesity; decision tree; entropy; Inteligencia Artificial; obesidad; árbol de decisión; entropía

This paper seeks to raise awareness about localized obesity in Latin America and its health centers, inciting to reduce obesity in the population, taking as a tool a software that from the data taken in the research can determine the levels of obesity in a patient and recommend some ways to improve health using techniques related to Artificial Intelligence where the model applied to the data can be observed which are the people with a higher degree of obesity and analyze their respective causes.