title: A newborn screening system based on service-oriented architecture embedded support vector machine.
abstract: The clinical symptoms of metabolic disorders are rarely apparent during the neonatal period, and if they are not treated earlier, irreversible damages, such as mental retardation or even death, may occur. Therefore, the practice of newborn screening is essential to prevent permanent disabilities in newborns. In the paper, we design, implement a newborn screening system using Support Vector Machine (SVM) classifications. By evaluating metabolic substances data collected from tandem mass spectrometry (MS/MS), we can interpret and determine whether a newborn has a metabolic disorder. In addition, National Taiwan University Hospital Information System (NTUHIS) has been developed and implemented to integrate heterogeneous platforms, protocols, databases as well as applications. To expedite adapting the diversities, we deploy Service-Oriented Architecture (SOA) concepts to the newborn screening system based on web services. The system can be embedded seamlessly into NTUHIS.
authors: Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan.
authors: Kai-Ping
authors: KP
authors: Hsu
authors: Sung-Huai
authors: SH
authors: Hsieh
authors: Sheau-Ling
authors: SL
authors: Hsieh
authors: Po-Hsun
authors: PH
authors: Cheng
authors: Yung-Ching
authors: YC
authors: Weng
authors: Jang-Hung
authors: JH
authors: Wu
authors: Feipei
authors: F
authors: Lai
mesh_terms: D001185:Artificial Intelligence; D003195:Computer Communication Networks; D057225:Data Mining; D006751:Hospital Information Systems; D006801:Humans; D007231:Infant, Newborn; D008661:Metabolism, Inborn Errors / Q000517:prevention & control*; D015997:Neonatal Screening / Q000295:instrumentation*; D018511:Systems Integration; D013624:Taiwan; D053719:Tandem Mass Spectrometry / Q000295:instrumentation*; D057188:Workflow