Computational Knowledge Modeling in Cardiovascular Clinical Information Systems

  • Nan-Chen Hsieh
  • Jui-Fa Chen
  • Hsin-Che Tsai
  • Fan Su
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 145)

Abstract

Cardiac surgery is a complex surgical operation that is performed on patients with a severe insufficiency in their cardiac function. In this study, we present a CIS (Clinical Information System) with knowledge modeling that combines information extracted from the heterogeneous data sources in order to assess the evolution of the Cardiac surgery after the intervention and data extracted from Follow-Up Record. Once the integrating of data, the homogeneous data could be useful in answering important clinical questions and could help optimize cardiac methodologies in the clinical decision field. The results show that the system proposed by this approach yields valuable information and knowledge for Cardiac surgery patients.

Keywords

Cardiac Surgery Patient Clinical Information System Severe Insufficiency Heterogeneous Data Source Important Clinical Question 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Nan-Chen Hsieh
    • 1
  • Jui-Fa Chen
    • 2
  • Hsin-Che Tsai
    • 2
  • Fan Su
    • 1
  1. 1.Department of Information ManagementNational Taipei University of Nursing and Health SciencesTaipeiTaiwan
  2. 2.Department of Computer Science and Information EngineeringTamkang UniversityTamkangTaiwan

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