DocumentCode
526329
Title
IUI mining: Template base variation approach
Author
Kooptiwoot, Suwimon
Author_Institution
Comput. Sci. Program, Suan Sunandha Rajabhat Univ., Bangkok, Thailand
Volume
3
fYear
2010
fDate
9-11 July 2010
Firstpage
282
Lastpage
284
Abstract
Medical data mining is challenging. In this paper, we propose a new data mining method which is the combination of some existing ideas consisting of the concept of template based learning, the large fraction proposed in and the support and confidence as proposed in to mine a medical data set, IUI (Intrauterine Insemination) data and show the results. This data is about Intra Uterine Insemination treatment which helps couples in infertility clinic to get pregnancy. The results show that the knowledge mined is satisfied by the experts in the field.
Keywords
biological techniques; data mining; medical computing; obstetrics; patient treatment; IUI mining; Intra Uterine Insemination treatment; infertility clinic; medical data mining; template base variation approach; template based learning; Bayesian methods; Laboratories; Noise measurement; Reliability theory; IUI Mining; Large Fraction; Medical Data Mining; Support and Confidence Value; Template Base;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Information Technology (ICCSIT), 2010 3rd IEEE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-5537-9
Type
conf
DOI
10.1109/ICCSIT.2010.5563597
Filename
5563597
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