The week's pick
Random Articles
Reseach Article
Article:Research on Care of Postoperative Patient based on Rough Sets Theory
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 31 - Number 10 |
| Year of Publication: 2011 |
| Authors: Yunlong Xu, Yuping Cao, Songlin Yang |
10.5120/3859-5383
|
Yunlong Xu, Yuping Cao, Songlin Yang . Article:Research on Care of Postoperative Patient based on Rough Sets Theory. International Journal of Computer Applications. 31, 10 ( October 2011), 8-12. DOI=10.5120/3859-5383
Abstract
In this paper, the rough set theory is used to deal with the relations between patient’s temperature, oxygen saturation, blood pressure and decision ADM-DECS in care of postoperative patients, we select 28 postoperative patients as a sample, take ADM-DECS as a decision attribute and take patient’s temperature, oxygen saturation, blood pressure as condition attributes. We are based on rough-set theory to research importance of condition attributes with respective to decision attribute and strength of condition attributes supporting decision attribute. Results of this research will be helpful for nurses to raise quality of care.
References
- G. Alvatore, M. Bentto and S. Roman, Rough set theory for multi criteria decision analysis, European Journal of Operational Research 129(2001), 1-47.
- A. Budihardjo, J. Grzymala-Busse and L. Woolery, Program LERS-LB 2.5 as a tool for knowledge acquisition in nuesing, Proceeding of the 4th Int. Conference on Industrial & Engineering Applicati- ons of AI&Expert Sytems, (1991), 735-740.
- R. Golan and W. Ziarko, Methodology for stock market analysis utilizing rough set theory, Proc. of IEEE/IAFE Conference on Computational Intellig- ence for Financial Engineering 22(1995), 32-40.
- Q. Li,G. Xie and Y. MU, The application of data mining technology based on rough sets to medical diagnosis, CHINESE MEDICAL EQUIPMENT JOURNAL, 3(2005), 3-7.
- Z. Pawlak, Rough sets, International Journal of Computer and Information Sciences 11(1982), 341-356.
- Z. Pawlak, Rough Sets: Theoretical Aspects of Reasoning About Data, Kluwer Academic Publishers, 1991.
- Z. Pawlak, Vagueness and uncertainty: a rough set perspective, Computational Intelligence 11(1995), 227-232.
- Pawlak, Z., Decision rules and flow networks, Eur- opean Journal of Operational Research 154, 2004, 184-190.
- S. Padmini and H. Donald, Vocabulary mining for information retrieval: rough sets and fuzzy sets, Information Processing and Management 37(2002), 15-38.
- K. Qin, Y. Gao and Z. Pei, On covering rough sets, LNAI 4481(2007), 34-41.
- S. Tsumoto, Automated discovery of medical expe- rt system rules from clinical databases based on rough set, Proc. of Second International Conf. on Knowledge discovery and data Mining, 32(1996), 63-72.
- M. Yahia, R. Mahmodr and N. Sulaimann, Rough neural expert systems, Expert system with Applications 18(2002), 87-99.
Index Terms
Keywords