Attribute Weighting Model for Breast Cancer Prediction with the Harmony Search Algorithm

AudienciaPúblico en generales_ES
CoberturaMéxicoes_ES
Fecha de ingreso2026-10-05T16:33:58Z
Fecha de publicación2024-01-01
ResumenBreast cancer is a disease that affects many women worldwide. Identifying risk factors is important for prevention and early treatment. Although models such as Gail, Tyrer-Cuzick, and BOADICEA can predict breast cancer risk at five to ten years based on risk factors, the Gail model has been shown to have poor accuracy. Moreover, accurately assessing the influence of risk factors remains a challenge. Hence, accurate models are needed for early detection. In this paper, we used the harmony search algorithm to assign weights to each risk factor value to produce an accurate predictive model. Our model achieved a 96% precision and an 81% accuracy, outperforming Gail’s results, which obtained a 67% precision and a 60% accuracy. Furthermore, the simplicity of our model makes it a valuable tool for both patients and medical professionals.es_ES
Doihttps://doi.org/10.1007/978-3-031-66731-2_12es_ES
URIhttps://riuat.uat.edu.mx/handle/123456789/5710
Idiomaenes_ES
EditorialSpringer Science and Business Media Deutschland GmbHes_ES
RelaciónIntelligent Systems Reference Libraryes_ES
URL relacionadohttps://doi.org/10.1007/978-3-031-66731-2_12es_ES
DerechosAcceso restringido / Suscripción (Metadatos de producción científica)es_ES
Licenciahttp://purl.org/coar/access_right/c_16eces_ES
FuenteIntelligent Systems Reference Library
Palabra claveAttribute weightinges_ES
Palabra claveBreast canceres_ES
Palabra claveHarmony search algorithmes_ES
Palabra claveRisk factorses_ES
TítuloAttribute Weighting Model for Breast Cancer Prediction with the Harmony Search Algorithmes_ES
TipoCapítulo Libroes_ES
ArbitradoHa sido Arbitradoes_ES
AutorAntonio-Hernández, Clara
AutorTerán-Villanueva, Jesús D.
AutorCastán-Rocha, José A.
AutorPonce-Flores, Mirna P.
AutorPonce-Flores, Zurisadai
AutorAntonio-Hernández, Claraes_ES
AutorTerán-Villanueva, Jesús D.es_ES
AutorCastán-Rocha, José A.es_ES
AutorPonce-Flores, Mirna P.es_ES
AutorPonce-Flores, Zurisadaies_ES
InstituciónUniversidad Autónoma de Tamaulipas
InstituciónUniversidad Autónoma de Tamaulipases_ES
Rango de páginas299-323es_ES
URL relacionadahttps://doi.org/10.1007/978-3-031-66731-2_12
Tipo de artículoIndexado
Tipo de artículoIndexadoes_ES
Volumen260es_ES

Files