@article{ART001332861},
author={Youngho Lee and Youngmi Yoon and 이병문 and HeeJoung Hwang and 강운구},
title={Development of Mining model through reproducibility assessment in Adverse drug event surveillance system},
journal={Journal of The Korea Society of Computer and Information},
issn={1598-849X},
year={2009},
volume={14},
number={3},
pages={183-192}
TY - JOUR
AU - Youngho Lee
AU - Youngmi Yoon
AU - 이병문
AU - HeeJoung Hwang
AU - 강운구
TI - Development of Mining model through reproducibility assessment in Adverse drug event surveillance system
JO - Journal of The Korea Society of Computer and Information
PY - 2009
VL - 14
IS - 3
PB - The Korean Society Of Computer And Information
SP - 183
EP - 192
SN - 1598-849X
AB - ADESS(Adverse drug event surveillance system) is the system which distinguishes adverse drug events using adverse drug signals. This system shows superior effectiveness in adverse drug surveillance than current methods such as volunteer reporting or char review. In this study, we built clinical data mart(CDM) for the development of ADESS. This CDM could obtain data reliability by applying data quality management and the most suitable clustering number(n=4) was gained through the reproducibility assessment in unsupervised learning techniques of knowledge discovery. As the result of analysis, by applying the clustering number(N=4), K-means, Kohonen, and two-step clustering models were produced and we confirmed that the K-means algorithm makes the most closest clustering to the result of adverse drug events.
KW - Adverse Drug Event surveillance system;Knowledge discovery;Clinical Data Mart
DO -
UR -
ER -
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang and 강운구. (2009). Development of Mining model through reproducibility assessment in Adverse drug event surveillance system. Journal of The Korea Society of Computer and Information, 14(3), 183-192.
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang and 강운구. 2009, "Development of Mining model through reproducibility assessment in Adverse drug event surveillance system", Journal of The Korea Society of Computer and Information, vol.14, no.3 pp.183-192.
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang, 강운구 "Development of Mining model through reproducibility assessment in Adverse drug event surveillance system" Journal of The Korea Society of Computer and Information 14.3 pp.183-192 (2009) : 183.
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang, 강운구. Development of Mining model through reproducibility assessment in Adverse drug event surveillance system. 2009; 14(3), 183-192.
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang and 강운구. "Development of Mining model through reproducibility assessment in Adverse drug event surveillance system" Journal of The Korea Society of Computer and Information 14, no.3 (2009) : 183-192.
Youngho Lee; Youngmi Yoon; 이병문; HeeJoung Hwang; 강운구. Development of Mining model through reproducibility assessment in Adverse drug event surveillance system. Journal of The Korea Society of Computer and Information, 14(3), 183-192.
Youngho Lee; Youngmi Yoon; 이병문; HeeJoung Hwang; 강운구. Development of Mining model through reproducibility assessment in Adverse drug event surveillance system. Journal of The Korea Society of Computer and Information. 2009; 14(3) 183-192.
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang, 강운구. Development of Mining model through reproducibility assessment in Adverse drug event surveillance system. 2009; 14(3), 183-192.
Youngho Lee, Youngmi Yoon, 이병문, HeeJoung Hwang and 강운구. "Development of Mining model through reproducibility assessment in Adverse drug event surveillance system" Journal of The Korea Society of Computer and Information 14, no.3 (2009) : 183-192.
