Quantitative Evaluation of Initial Symptoms as Predictors to Detect Adverse Drug Reactions Using Bayes’ Theory: Expansion and Evaluation of Drug-Adverse Drug Reaction–Initial Symptom Combinations Using Adverse Event Reporting System Database

Author:

Kobayashi Daisuke1,Hosaka Shigeru2,Inoue Emiko1,Ohshima Kimie2,Kutsuma Nobuaki2,Oshima Shinji1,Okuno Yasushi3

Affiliation:

1. Department of Analytical Pharmaceutics and Informatics, Faculty of Pharmaceutical Sciences, Josai University

2. Asahi-Chozai Co., Ltd.

3. Department of Systems Biosciences for Drug Discovery, Graduate School of Pharmaceutical Sciences, Kyoto University

Publisher

Pharmaceutical Society of Japan

Subject

Pharmaceutical Science,Pharmacology,General Medicine

Reference19 articles.

1. 1) Ohshima S, Ieda M, Yamamoto M, Kobayashi D. Quantitative evaluation method of information value of initial symptoms based on Bayesian theory. Yakugaku Zasshi, 132, 763–768 (2012).

2. 2) Scandellari C. The Bayesian approach to evaluation of diagnostic data. Ann. Ist. Super. Sanita, 27, 385–393 (1991).

3. 3) Ministry of Health, Labour and Welfare. “the Manual for Handling Disorders due to Adverse Drug Reactions.”: ‹http://www.mhlw.go.jp/topics/2006/11/tp1122-1.html›, cited 6 May, 2013.

4. 4) Saito M. Introduction of “the manual for handling disorders due to adverse drug reactions”: focus on the antibiotics related severe adverse drug reactions. Jpn. J. Antibiot., 61, 269–288 (2008).

5. 5) Jose J, Rao PG. Pattern of adverse drug reactions notified by spontaneous reporting in an Indian tertiary care teaching hospital. Pharmacol. Res., 54, 226–233 (2006).

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