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A Newborn Screening System Based on Service-Oriented Architecture Embedded Support Vector Machine

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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.

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Acknowledgments

The authors would like to acknowledge members of the Pediatrics and Medical Genetics Office, the Information Systems Office at NTUH for their assistance.

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Authors and Affiliations

  1. Information Systems Office, National Taiwan University Hospital, No.7, Chung-San South Road, Taipei, Taiwan

    Sung-Huai Hsieh, Sheau-Ling Hsieh, Yung-Ching Weng & Feipei Lai

  2. Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan

    Kai-Ping Hsu, Sung-Huai Hsieh, Yung-Ching Weng & Feipei Lai

  3. Department of Electrical Engineering, National Taiwan University, Taipei, Taiwan

    Feipei Lai

  4. Network and Computer Centre, National Chiao Tung University, Hsin Chu, Taiwan

    Sheau-Ling Hsieh & Jang-Hung Wu

  5. Graduate Institute of Biomedical Electronics and Bioinformatics, National Taiwan University, Taipei, Taiwan

    Feipei Lai

  6. Software Engineering Department, National Kaohsiung Normal University, Kaohsiung, Taiwan

    Po-Hsun Cheng

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  1. Kai-Ping Hsu
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  2. Sung-Huai Hsieh
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  3. Sheau-Ling Hsieh
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Correspondence to Sung-Huai Hsieh.

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Hsu, KP., Hsieh, SH., Hsieh, SL. et al. A Newborn Screening System Based on Service-Oriented Architecture Embedded Support Vector Machine. J Med Syst 34, 899–907 (2010). https://doi.org/10.1007/s10916-009-9305-6

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  • DOI: https://doi.org/10.1007/s10916-009-9305-6

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