Title :
Visual analysis of nurse rostering solutions through a bio-inspired intelligent model
Author :
Vaquerizo, M. Belen ; Herrero, Alvaro ; Corchado, Emilio
Author_Institution :
Univ. of Burgos, Burgos, Spain
Abstract :
In recent years, many solutions have been developed for the Nurse Rostering Problem. When a new problem of this kind arrives, it is not so easy to choose the proper solution from previous work. This study presents an application of a bio-inspired intelligent system to analyse and select previous nurse rostering solutions. This applied research presents a multidisciplinary study based on the application of unsupervised neural projection models in order to identify the similar solutions to the mentioned problem. The system has been tested under a real data set gathered from the current state of the art, achieving promising results.
Keywords :
data analysis; data visualisation; medical administrative data processing; neural nets; patient care; personnel; unsupervised learning; bioinspired intelligent system; nurse rostering problem; unsupervised neural projection model; visual analysis; Analytical models; Biological system modeling; Decision support systems; Intelligent systems; Visualization; Evolutionay Computation; Neural Projection Models; Nurse Rostering; Unsupervised Learning;
Conference_Titel :
Intelligent Systems Design and Applications (ISDA), 2011 11th International Conference on
Conference_Location :
Cordoba
Print_ISBN :
978-1-4577-1676-8
DOI :
10.1109/ISDA.2011.6121660
