Detection of adverse drug events detection: data agregation and data mining

E Chazard, G Ficheur, B Merlin, M Genin… - … and Prevention of …, 2009 - ebooks.iospress.nl
E Chazard, G Ficheur, B Merlin, M Genin, C Preda, R Beuscart
Detection and Prevention of Adverse Drug Events, 2009ebooks.iospress.nl
Adverse drug events (ADEs) are a public health issue. The objective of this work is to data-
mine electronic health records in order to automatically identify ADEs and generate alert
rules to prevent those ADEs. The first step of data-mining is to transform native and complex
data into a set of binary variables that can be used as causes and effects. The second step is
to identify cause-toeffect relationships using statistical methods. After mining 10,500
hospitalizations from Denmark and France, we automatically obtain 250 rules, 75 have been …
Abstract
Adverse drug events (ADEs) are a public health issue. The objective of this work is to data-mine electronic health records in order to automatically identify ADEs and generate alert rules to prevent those ADEs. The first step of data-mining is to transform native and complex data into a set of binary variables that can be used as causes and effects. The second step is to identify cause-toeffect relationships using statistical methods. After mining 10,500 hospitalizations from Denmark and France, we automatically obtain 250 rules, 75 have been validated till now. The article details the data aggregation and an example of decision tree that allows finding several rules in the field of vitamin K antagonists.
ebooks.iospress.nl
以上显示的是最相近的搜索结果。 查看全部搜索结果