Title :
Artificial immune systems for intelligent nurse rostering
Author :
Lo, C.-C. ; Lin, C.-C. ; Wang, C.-T. ; Dai, T.-J. ; Wong, D.
Author_Institution :
Fo Guang Univ., Yilan
Abstract :
Nurse rostering is an essential and important task for hospital administration. In this paper, an intelligent nurse rostering system is proposed by using two types of artificial immune systems, CLONALG and aiNet, as the intelligent mechanisms. The performance of both artificial immune systems is examined, and the results indicate that both artificial immune systems provide good intelligent solutions to solve nurse rostering problems efficiently and effectively. In addition, it is also found that CLONALG is a more efficient intelligent nurse rostering mechanism when time-consuming what-if analysis is frequently needed.
Keywords :
artificial immune systems; medical administrative data processing; CLONALG; aiNet; artificial immune systems; hospital administration; intelligent nurse rostering; what-if analysis; Artificial immune systems; Artificial intelligence; Computer science; Databases; Decision support systems; Hospitals; Informatics; Intelligent systems; Machine learning algorithms; Medical services; artificial immune system; hospital administration; intelligent scheduling; nurse rostering;
Conference_Titel :
Industrial Engineering and Engineering Management, 2007 IEEE International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-1529-8
Electronic_ISBN :
978-1-4244-1529-8
DOI :
10.1109/IEEM.2007.4419313
