Friday 19th of April 2024
 

Applying Data Mining Technique For The Optimal Usage Of Neonatal Incubator


Hagar Fady, Taha El-Sayed Taha and Mervat Mahmoud Mousa

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.

Keywords: : Length of Stay, Data Mining, Regression, Incubator, Premature

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ABOUT THE AUTHORS

Hagar Fady
Hagar Fady was born in Tanta, Egypt, on March 14, 1984. She received B.Sc. degree (with distinction) in computer engineering from Tanta University, Egypt, in June 2005, the M.Sc. degree• in computer engineering from Menoufiya University, Egypt, in 2012. Currently she is a full time Oracle developer.

Taha El-Sayed Taha
Taha E. Taha was born in Tanta, Egypt, on October 11, 1946. He received the B.Sc. degree (with distinction) in communication engineering from Menoufiya University, Egypt, in June 1969, the M.Sc. degree• in communication engineering from Helwan University, Egypt, in April 1978, and the Ph.D. degree (very honorable) in electronic engineering from the National Polytechnic Institute, Toulouse, France, in June 1985. From September 1969 to July 1978, he was a Demonstrator, in July 1978, he was an Assistant Lecturer, in November 1985, he was a Lecturer, in February 1990, he was an Assistant Professor, and in September 1995, he was named Professor, all in the Faculty of Electronic Engineering, Menoufiya University, Communication Department. He was appointed Vice Dean from February. 2002 to October 2005, and Head of the Communication Department, from November 2005 to July 2007. At present, he is an Emeritus Professor at the sa:ne department. His main research interests are surface acoustic wave devices, optical devices, superconductor devices, medical applications of ultrasound, and bioinformatics.

Mervat Mahmoud Mousa
Mervat M. Mousa received Ph.D degree in CSE from Menofia university at 1990. She is working as professor in Dept. of Computer Science and Engineering, 32952, Menouf, Menofia University-Egypt, her main research interest operating systems and database.


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