Applying Data Mining Technique for the Optimal Usage of Neonatal Incubator

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...

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Bibliographic Details
Published in:International journal of computer applications 2012-01, Vol.52 (3), p.11-20
Main Authors: FadyS, Hagar, El-Sayed T., Taha, Mahmoud M., Mervat
Format: Article
Language:English
Subjects:
Data mining
Infants
Management
Networks
Optimization
Utilization
Online Access:Get full text
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Summary: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.
ISSN:0975-8887
0975-8887
DOI:10.5120/8181-1508