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Journal of Medical Systems

, Volume 34, Issue 4, pp 727–733 | Cite as

A Multi-Voting Enhancement for Newborn Screening Healthcare Information System

  • Sung-Huai Hsieh
  • Po-Hsun ChengEmail author
  • Chi-Huang Chen
  • Kuo-Hsuan Huang
  • Po-Hao Chen
  • Yung-Ching Weng
  • Sheau-Ling Hsieh
  • Feipei Lai
Original Paper

Abstract

The clinical symptoms of metabolic disorders during neonatal period are often not apparent. If not treated early, irreversible damages such as mental retardation may occur, even death. Therefore, practicing newborn screening is essential, imperative to prevent neonatal from these damages. In the paper, we establish a newborn screening model that utilizes Support Vector Machines (SVM) techniques and enhancements to evaluate, interpret the Methylmalonic Acidemia (MMA) metabolic disorders. The model encompasses the Feature Selections, Grid Search, Cross Validations as well as multi model Voting Mechanism. In the model, the predicting accuracy, sensitivity and specificity of MMA can be improved dramatically. The model will be able to apply to other metabolic diseases as well.

Keywords

Newborn screening Tandem mass spectrometry Support vector machines Methylmalonic acidemia 

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Copyright information

© Springer Science+Business Media, LLC 2009

Authors and Affiliations

  • Sung-Huai Hsieh
    • 1
    • 2
  • Po-Hsun Cheng
    • 6
    Email author
  • Chi-Huang Chen
    • 3
  • Kuo-Hsuan Huang
    • 7
  • Po-Hao Chen
    • 2
  • Yung-Ching Weng
    • 1
    • 2
  • Sheau-Ling Hsieh
    • 1
    • 4
  • Feipei Lai
    • 1
    • 2
    • 3
    • 5
  1. 1.Information Systems OfficeNational Taiwan University HospitalTaipeiTaiwan
  2. 2.Department of Computer Science and Information EngineeringNational Taiwan UniversityTaipeiTaiwan
  3. 3.Department of Electrical EngineeringNational Taiwan UniversityTaipeiTaiwan
  4. 4.Network and Computer CentreNational Chiao Tung UniversityHsin ChuTaiwan
  5. 5.Graduate Institute of Biomedical Electronics and BioinformaticsNational Taiwan UniversityTaipei CityTaiwan
  6. 6.Department of Software EngineeringNational Kaohsiung Normal UniversityTaipeiTaiwan
  7. 7.Department of Computer Science and EngineeringTatung UniversityTaipeiTaiwan

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