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.
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References
Chen, C.F.: Introduction and Applications of Web Services: Using Visual Studio. Pearson Education Inc., Taipei (2003)
Jian, S.C.: SOA Applications (2004), http://www.microsoft.com/taiwan/msdn/columns/soa/SOA_overview_2004112901.htm
Newcomer, E., Lomow, G.: Understanding SOA with Web Services. Addison-Wesley, New York (2005)
Wu, S.H.: Introduction to SOA computing and frameworks (2005), http://www.ascc.sinica.edu.tw/nl/94/2124/02.txt
Wu, G.S., Huang, H.W., Hon, Z.S., Chou, Y.T., Huang, H.D., Lin, Y.S., Lin, Z.M.: Using Web Services to Build a HL7 Based Electronic Patient Record Exchange System. The Journal of Taiwan Association for Medical Informatics 15(2), 41–54 (2006)
Weerawarana, S., Curbera, F., Leymann, F., Storey, T., Ferguson, D.F.: Web Services Platform Architecture. Pearson Education, Inc., Upper Saddle River (2005)
Tseng, B.C.: Introduction to Web Services (2005), http://www.ascc.sinica.edu.tw/nl/94/2124/02.txt
Waterman, J.: SOA (2008), http://dev2dev.bea.com.tw/techdoc/07soa/07soa_040812_01.htm
Huang, J.S.: Design and Evaluation of a Emergency Medical Data Base Decision Support System. Mar-Kai Memorial Hospital Plan Report, Taipei, Taiwan (2003)
Hong, Z.H.: The Research of A Gene Control Computer-Aided System. Master’s Thesis, Department of Information Management, Chang-Gong University, Taiwan (2002)
Chang, C.C.: A Computer-aided Medical Decision Support Tool for Treatment Risk Analysis. The Journal of Taiwan Association for Medical Informatics 7, 14–25 (1998)
Silverman, B.G.: Survey of Expert Critiquing Systems: Practical and Theoretical Frontiers. Communications of the ACM 35(4), 106–127 (1992)
Shortliffe, E.H., Perreault, L.E.: Medical Informatics. Addison-Wesley Publishing Company, Reading (1990)
Shabot, M.M., Gardner, R.M.: Decision Support System in Critical Care. Springer, Heidelberg (1994)
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Chang, C.C., Lu, HM. (2009). A Medical Diagnosis Decision Support System Based on Bayesian Theorem and Web Services. In: Hua, A., Chang, SL. (eds) Algorithms and Architectures for Parallel Processing. ICA3PP 2009. Lecture Notes in Computer Science, vol 5574. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03095-6_73
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DOI: https://doi.org/10.1007/978-3-642-03095-6_73
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