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
Link To Document :
بازگشت