Use of General Regression Artificial Neural Network to Identify the Natural Growth of Head Circumference of the Baby

Mohammed, Susan H.; Shaheen, Aesha S.; Melhum, Amera I.

doi:10.33899/csmj.2013.163423

	Use of General Regression Artificial Neural Network to Identify the Natural Growth of Head Circumference of the Baby
AL-Rafidain Journal of Computer Sciences and Mathematics
Article 3, Volume 10, Issue 1, 2013, Pages 43-52 PDF (493.94 K)
Document Type: Research Paper
DOI: 10.33899/csmj.2013.163423
Authors
Susan H. Mohammed¹; Aesha S. Shaheen¹; Amera I. Melhum²
¹College of Computer Sciences and Mathematics, University of Mosul
²College of Computer Science, University of Duhok
Abstract
Recently, many cases of deformities and health problems that affect the newborn were recorded, because of the known pollutants and radiation. One of these problems is the growth of the child, both in terms of height and weight or in terms of the natural growth of head circumference. Any increase or decrease in the measurement of head circumference a sign of a problem This research addresses the issue of natural growth of the baby's head circumference from the first month until he/she reaches a year and half old. Artificial neural networks were used to train the normal values for the growth of head circumference based on the medical chart for the growth of head circumference and adopted internationally. Results showed the efficiency and accuracy of the work of these networks in the diagnosis of natural cases from the others.
Keywords
Regression Artificial Neural Network; natural growth

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