Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)

Mining Combined Detection of Tumor Marker Based on Cloud Model

Authors
Feng Guo1, Shaozi Li
1Department of Cognitive Science, Xiamen University
Corresponding Author
Feng Guo
Available Online October 2007.
DOI
10.2991/iske.2007.70How to use a DOI?
Keywords
Data Mining, Association Rule, Cloud Model, Tumor Marker, Combined Detection
Abstract

The cloud model is an effective tool in transforming between qualitative concepts and their quantitative expressions. In the field of tumor marker, detects combined markers can improve the performance of cancer detection. But the discovery of combined tumor markers depends on doctor’s experience, and the markers are very difficult to find. This paper presents a multi-markers discovery method to mine combined detection tumor markers in detection histories. We mined top 10 combinations by our algorithm, and 8 of the results are fit for iatrical knowledge. Further this paper compares the results between cloud model and fuzzy set, and sums up their difference.

Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
Series
Advances in Intelligent Systems Research
Publication Date
October 2007
ISBN
10.2991/iske.2007.70
ISSN
1951-6851
DOI
10.2991/iske.2007.70How to use a DOI?
Copyright
© 2007, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Feng Guo
AU  - Shaozi Li
PY  - 2007/10
DA  - 2007/10
TI  - Mining Combined Detection of Tumor Marker Based on Cloud Model
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 415
EP  - 421
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.70
DO  - 10.2991/iske.2007.70
ID  - Guo2007/10
ER  -