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A Framework for Dynamic Evidence Based Medicine using Data Mining
Maribor, Slovenia June 04-June 07
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.101136415th IEEE Symposium on Computer-Based ...
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Gou Masuda, Norihiro Sakamoto, Ryuichi Yamamoto, "A Framework for Dynamic Evidence Based Medicine using Data Mining," Computer-Based Medical Systems, IEEE Symposium on, pp. 117, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002.
 
 
BibTex
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@article{ 10.1109/CBMS.2002.1011364,
author = {Gou Masuda and Norihiro Sakamoto and Ryuichi Yamamoto},
title = {A Framework for Dynamic Evidence Based Medicine using Data Mining},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2002},
issn = {1063-7125},
pages = {117},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2002.1011364},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - A Framework for Dynamic Evidence Based Medicine using Data Mining
SN - 1063-7125
SP
EP
A1 - Gou Masuda,
A1 - Norihiro Sakamoto,
A1 - Ryuichi Yamamoto,
PY - 2002
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Gou Masuda, Osaka Medical College
Norihiro Sakamoto, Kobe University Hospital
Ryuichi Yamamoto, Osaka Medical College
Dynamic Evidence Based Medicine (DEBM)is de .ned a the process of .nding evidence about the care of individual patients automatically and dynamically in the case that we cannot rely on any literatures or guidelines.In this paper,we develop a frameworkfor DEBM using data mining technologies that make it possible to automatically analyze huge clinical databases and to discover patterns behind them.We de .ne the requirements of data mining system for DEBM.The following two functions are required of the system. (1)Supporting clinical decision making,and (2)Discovering rare patterns which human beings can hardly .nd.In order to support clinical decision making,rule discovery methods such as association rule mining are applied to this framework.We adopt a post analysis approach using a rulebase and queries.Discovered rules are collected into a rulebase for further analysis.By executing queries to the rulebase,users can obtain the keys to evidence for making decisions about the clinical care.We preliminarily implement a prototype of rulebase and post analysis tool based on our framework.This tool can assist users to analyze discovered rules.
Citation:
Gou Masuda, Norihiro Sakamoto, Ryuichi Yamamoto, "A Framework for Dynamic Evidence Based Medicine using Data Mining," cbms, pp.117, 15th IEEE Symposium on Computer-Based Medical Systems (CBMS'02), 2002
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