The intelligent system of cardiovascular disease diagnosis based on extension data mining

Baiqing Sun; Yange Li; Lin Zhang

doi:10.1007/978-3-642-02298-2_19

The intelligent system of cardiovascular disease diagnosis based on extension data mining

Baiqing Sun^*
, Yange Li
, Lin Zhang

^*Corresponding author for this work

School of Management, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

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.

Original language	English
Title of host publication	Cutting-Edge Research Topics on Multiple Criteria Decision Making
Subtitle of host publication	20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings
Publisher	Springer Verlag
Pages	133-140
Number of pages	8
ISBN (Print)	9783642022975
DOIs	https://doi.org/10.1007/978-3-642-02298-2_19
State	Published - 2009
Externally published	Yes

Publication series

Name	Communications in Computer and Information Science
Volume	35
ISSN (Print)	1865-0929

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

Cardiovascular disease
Extension data mining
Intelligent diagnosis

Access to Document

10.1007/978-3-642-02298-2_19

Cite this

Sun, B., Li, Y., & Zhang, L. (2009). The intelligent system of cardiovascular disease diagnosis based on extension data mining. In Cutting-Edge Research Topics on Multiple Criteria Decision Making: 20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings (pp. 133-140). (Communications in Computer and Information Science; Vol. 35). Springer Verlag. https://doi.org/10.1007/978-3-642-02298-2_19

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title = "The intelligent system of cardiovascular disease diagnosis based on extension data mining",

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.",

keywords = "Cardiovascular disease, Extension data mining, Intelligent diagnosis",

author = "Baiqing Sun and Yange Li and Lin Zhang",

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language = "英语",

isbn = "9783642022975",

series = "Communications in Computer and Information Science",

publisher = "Springer Verlag",

pages = "133--140",

booktitle = "Cutting-Edge Research Topics on Multiple Criteria Decision Making",

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}

Sun, B, Li, Y & Zhang, L 2009, The intelligent system of cardiovascular disease diagnosis based on extension data mining. in Cutting-Edge Research Topics on Multiple Criteria Decision Making: 20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings. Communications in Computer and Information Science, vol. 35, Springer Verlag, pp. 133-140. https://doi.org/10.1007/978-3-642-02298-2_19

The intelligent system of cardiovascular disease diagnosis based on extension data mining. / Sun, Baiqing; Li, Yange; Zhang, Lin.
Cutting-Edge Research Topics on Multiple Criteria Decision Making: 20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings. Springer Verlag, 2009. p. 133-140 (Communications in Computer and Information Science; Vol. 35).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - The intelligent system of cardiovascular disease diagnosis based on extension data mining

AU - Sun, Baiqing

AU - Li, Yange

AU - Zhang, Lin

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

KW - Cardiovascular disease

KW - Extension data mining

KW - Intelligent diagnosis

UR - https://www.scopus.com/pages/publications/68349161013

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AN - SCOPUS:68349161013

SN - 9783642022975

T3 - Communications in Computer and Information Science

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BT - Cutting-Edge Research Topics on Multiple Criteria Decision Making

PB - Springer Verlag

ER -

Sun B, Li Y, Zhang L. The intelligent system of cardiovascular disease diagnosis based on extension data mining. In Cutting-Edge Research Topics on Multiple Criteria Decision Making: 20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings. Springer Verlag. 2009. p. 133-140. (Communications in Computer and Information Science). doi: 10.1007/978-3-642-02298-2_19

The intelligent system of cardiovascular disease diagnosis based on extension data mining

Abstract

Publication series

UN SDGs

Keywords

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