A newborn screening system based on Service-Oriented Architecture embedded Support Vector Machine
Journal
Proceedings of the 4th IEEE International Symposium on Service-Oriented System Engineering, SOSE 2008
Pages
196-201
Date Issued
2008
Author(s)
Abstract
The clinical symptoms of metabolic disorders are rarely apparent during the neonatal period, and if they are not treated early, irreversible damage, such as mental retardation, or even death, may occur. Therefore, the practice of newborn screening is important to the prevention of permanent disabilities in newborns.In this paper, we propose a newborn screening system that uses Support Vector Machine (SVM) classification techniques to evaluate raw data on the concentrations of metabolic substances obtained from tandem mass spectrometry (MS/MS) to determine if a newborn has a metabolic disorder. As per the concept of Service-Oriented Architecture (SOA), we designed the system using web services techniques, which are suitable for integrating heterogeneous platforms, protocols, and applications. It can be integrated seamlessly into National Taiwan University Hospital Information Systems (HIS) or other related HIS.
SDGs
Type
conference paper