Identifying Risk Factors for Newborn Outcomes using Artificial Neural Networks.POMPES PAR TRANSITIONS MULTIPLES

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" Identifying Risk Factors for Newborn Outcomes using Artificial Neural Networks.POMPES PAR TRANSITIONS MULTIPLES "

Document Type	:	Latin Dissertation
Language of Document	:	English
Record Number	:	154515
Doc. No	:	ET26307
Main Entry	:	Doaa Ibrahim-Swailum,
Title Proper	:	Identifying Risk Factors for Newborn Outcomes using Artificial Neural Networks.POMPES PAR TRANSITIONS MULTIPLES
Note	:	This document is digital این مدرک بصورت الکترونیکی می باشد
Abstract	:	The goal of this thesis is to identi$ the risk factors for caesarean delivery, neonatal mortalityand low Apgar score using Artificial Neural Networks (ANNs). The medical domain ofinterest used is the perinatal database provided by the Perinatal Partnership Program of.
Subject	:	Electericl tess
	:	برق
electronic file name	:	TL50580.pdf
Title and statement of responsibility and	:	Identifying Risk Factors for Newborn Outcomes using Artificial Neural Networks.POMPES PAR TRANSITIONS MULTIPLES [Thesis]