Ponencia
Performance of Algorithms for Interval Discretization of Biomedical Signals
Autor/es | Soria Morillo, Luis Miguel
González Abril, Luis Ortega Ramírez, Juan Antonio |
Departamento | Universidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticos |
Fecha de publicación | 2016 |
Fecha de depósito | 2022-07-19 |
Publicado en |
|
ISBN/ISSN | 978-3-319-32701-3 1680-0737 |
Resumen | A methodology to quantify the dependence be tween features using the Ameva discretization algorithm and
the advantages of qualitative models is presented in this paper.
This approach will be applied over medical data ... A methodology to quantify the dependence be tween features using the Ameva discretization algorithm and the advantages of qualitative models is presented in this paper. This approach will be applied over medical data sets. A com parison among Ameva and other related works has been done. The results, as will be depth explained in this paper, show that Ameva-based methodology can be used to determine the depen dence between features in a fast and understandable way from data sets with a high number of attributes and low number of instances. This is a quite important feature in genomic en vironments among others. This methodology has been applied to some well-known medical data sets and the results obtained shown that is a good alternative to other established algorithms in terms of clarity and computational cost. |
Agencias financiadoras | Ministerio de Economía y Competitividad (MINECO). España Junta de Andalucía |
Identificador del proyecto | TIN2013-46801-C4-1-R
TIC-8052 (Simon) |
Cita | Soria Morillo, L.M., González Abril, L. y Ortega Ramírez, J.A. (2016). Performance of Algorithms for Interval Discretization of Biomedical Signals. En MEDICON 2016: XIV Mediterranean Conference on Medical and Biological Engineering and Computing (1167-1173), Paphos, Cyprus: Springer. |
Ficheros | Tamaño | Formato | Ver | Descripción |
---|---|---|---|---|
SoriaMorillo2016_Chapter_Perfo ... | 244.8Kb | [PDF] | Ver/ | |