&nbsp; A method for signal detection of adverse drug reactions based on mutual information <br>

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Journal of Nanjing University(Natural Sciences) ›› 2010, Vol. 46 ›› Issue (6) : 705-712.

A method for signal detection of adverse drug reactions based on mutual information

Wei J ian X iang 1, Sun Yue H ong 2 , Zhu Yun Xia 1 , X u H ou Ming 3 , Sun J un 3 , Shuai You?Liang 1

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Abstract

As drug is crucial for life safety of the people, it is of great importance how to find the potential danger signal of the marketable drugs on time and effectively. At present, there are many methods for signal detection of
adverse drug reactions ( ADR), but no international gold standard is available. Results from application of various detection methods in our database differ to a great extent. T hus, a new method based on mutual information suited
to the characteristics of our data is proposed in this paper. Mutual information is a powerful statistical tool and is useful to measure the correlation between two random events. As the target ADR can be caused by the target drug
and the other drugs, we suppose the target drug and the target ADR are two random event sets. The value of mutual information between the target ADR and drugs can reflect the strength of their correlation. If the value
achieves the predetermined criteria, the suspicious signal is produced. We design the mutual information formulabased on Two -by two contingency table and bring forward a method for signal generation based on mutual
information called MI. The method is applied to the ADR database of Jiangsu Province of China in 2008, which includes 11, 591 drug ?ADR combinations. T he minimum signal criteria is a-3 and MI .0.000 06. T he method
identifies about 820 drug-ADR combinations. In comparison with the results of M edicines and Healthcare Products Regulatory Agency ( MHRA) method, the number of same signal detected is 732 and the sensitivity of MI is 0.89;
the specificity, 0 9 and Youden index, 0 79. T he experimental results show the method is reliable and effective.

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Wei J ian X iang 1, Sun Yue H ong 2 , Zhu Yun Xia 1 , X u H ou Ming 3 , Sun J un 3 , Shuai You?Liang 1
. A method for signal detection of adverse drug reactions based on mutual information
[J]. Journal of Nanjing University(Natural Sciences), 2010, 46(6): 705-712

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