A Medical Diagnosis Decision Support System Based on Bayesian Theorem and Web Services

  • Authors:

  • Chung C. Chang;Hsueh-Ming Lu

  • Affiliations:

  • Department of Information Management, Chinese Culture University, Yang Ming Shan, Taipei, Taiwan 111;Department of Information Management, Chinese Culture University, Yang Ming Shan, Taipei, Taiwan 111

  • Venue:
  • ICA3PP '09 Proceedings of the 9th International Conference on Algorithms and Architectures for Parallel Processing
  • Year:
  • 2009

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Abstract

This study employs the framework of web services in conjunction with Bayesian theorem to construct a web-services-based medical decision support system for diagnosis. The purpose is to help users (physicians) with issues pertinent to medical diagnosis decisions. Users through the system key in available prior probability and through computation based on Bayesian theorem obtain more accurate diagnosis. The process helps users enhance the quality and efficiency of medical decisions. On the other hand, features of web services enable this medical decision support system to offer more service platforms than conventional one. Users will have access to the system whether they use Windows, Macintosh, Linux or any other platforms that connect with the Internet via HTTP. More important is the fact that after the system is completed, all Internet service providers will be able to access the system as a software element freely and quickly. This way, the goal of this study - to provide a medical decision support tool and speedily integrate heterogeneous medical decision support systems can be effectively attained.