Nombre del libro
- VI Latin American Congress on Biomedical Engineering, CLAIB 2014
Thoracic surgery patients data analysis using SOM neural networks Contribución en una conferencia
Perfil
editorial
- Springer
Autor
- D. F. Gómez-Cajas
Resumen
- Data from patients after thoracic surgery caused by lung cancer are analyzed by Self Organizing Maps. Models obtained after training of these neural networks develop a clustering on synaptic weights, using k-means algorithms. Nonlinear relationships were found between patients with diseases and input variables. Results show how these models are useful for extracting value information in biomedical applications.
autores
-
http://vivoweb.org/ontology/core#FacultyMemberOrjuela Cañón, Alvaro David
fecha de publicación
- 2015-1-1
Área temática
Identidad
Identificador de objeto digital (DOI)
Número Estándar Internacional de Libros (ISBN)
- 9783319131160
Información adicional de documento
Número de páginas
- 4
Página inicial
- 761
Última página
- 764