Abstract
This thesis gives the general definition of the concepts of extension knowledge, extension data mining and extension data mining theorem in high dimension space, and also builds the IDSS integrated system by the rough set, expert system and neural network, develops the relevant computer software. From the diagnosis tests, according to the common diseases of myocardial infarctions, angina pectoris and hypertension, and made the test result with physicians, the results shows that the sensitivity, specific and accuracy diagnosis by the IDSS are all higher than the physicians. It can improve the rate of the accuracy diagnosis of physician with the auxiliary help of this system, which have the obvious meaning in low the mortality, disability rate and high the survival rate, and has strong practical values and further social benefits.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Cai, W.: Matter-element model and its application. The Science and Technology Publishing House, Beijing (1994)
Cai, W., Yang, C., Chen, W., Li, X.: Extensible set and extensible data mining. Science Press, Beijing (2008)
Cai, W., Yang, C., He, B.: Principium of Extension Logic. Science Press, Beijing (2003)
Yang, C., Cai, W.: Extension Engineering. Science Press, Beijing (2007)
Yeyati, E.L., Schmukler, S.L., Van Horen, N.: Emerging market liquidity and crises. In: Proceedings of the World Bank Report (2007)
Cai, W.: The extension theory and its application. In: Proceedings of the Chinese Science Bulletin, pp. 673–682 (1999)
Cai, W., Yang, C.: Research on conductive knowledge based on conductive transformation. Mathematics in Practice and Theory 38(17), 85–88 (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Sun, B., Li, Y., Zhang, L. (2009). The Intelligent System of Cardiovascular Disease Diagnosis Based on Extension Data Mining. In: Shi, Y., Wang, S., Peng, Y., Li, J., Zeng, Y. (eds) Cutting-Edge Research Topics on Multiple Criteria Decision Making. MCDM 2009. Communications in Computer and Information Science, vol 35. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02298-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-02298-2_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-02297-5
Online ISBN: 978-3-642-02298-2
eBook Packages: Computer ScienceComputer Science (R0)