Application of Decision Trees in the diagnosis of Anemia in children in the city of Arequipa

• Autores: Agramonte Mayhua, Indira, Chaco Huamani, Alex, Valdiviezo Tovar, Alexander, Ramos Challa, Melody
• Formato: artículo
• Fecha de Publicación: 2022
• Institución: Universidad La Salle
• Repositorio: Revistas - Universidad La Salle
• Lenguaje: español
• OAI Identifier: oai:ojs.revistas.ulasalle.edu.pe:article/69
• Enlace del recurso: https://revistas.ulasalle.edu.pe/innosoft/article/view/69; https://doi.org/10.48168/innosoft.s9.a69; https://purl.org/42411/s9/a69; https://n2t.net/ark:/42411/s9/a69
• Nivel de acceso: acceso abierto
• Materia: Decision tree; anemia; artificial intelligence; Árbol de decisión; inteligencia artificial

Anemia is one of the most common problems in children who are not adequately fed. Iron deficiency harms minors as it prevents them from carrying out their daily activities due to extreme tiredness and fatigue. Due to this situation, the Peruvian State has tried to reduce the level of prevalence of anemia at the national level with medical campaigns in different regions; despite this, localities such as Caylloma in Arequipa still maintain a high percentage of anemic infants, for which an implementation through Decision Trees with the python language to be able to determine if a child has anemia based on the data provided.