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Applying Data Mining Technique for the Optimal Usage of Neonatal Incubator

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International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 52 - Number 3
Year of Publication: 2012
Authors:
Hagar Fady S.
Taha El-sayed T.
Mervat Mahmoud M.
10.5120/8181-1508

Hagar Fady S., Taha El-sayed T. and Mervat Mahmoud M.. Article: Applying Data Mining Technique for the Optimal Usage of Neonatal Incubator. International Journal of Computer Applications 52(3):11-20, August 2012. Full text available. BibTeX

@article{key:article,
	author = {Hagar Fady S. and Taha El-sayed T. and Mervat Mahmoud M.},
	title = {Article: Applying Data Mining Technique for the Optimal Usage of Neonatal Incubator},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {52},
	number = {3},
	pages = {11-20},
	month = {August},
	note = {Full text available}
}

Abstract

This research aims to provide intelligent tool to predict incubator Length of Stay (LOS) of infants which shall increase the utilization and management of infant incubators. The data sets of Egyptian Neonatal Network (EGNN) were employed and Oracle Data Miner (ODM) tool was used for the analysis and prediction of data. The obtained results indicated that data mining technique is an appropriate and sufficiently sensitive method to predict required LOS of premature and ill infant.

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