Application of biclustering algorithm in adverse drug reaction monitoring system of China

Author:

Zhu Tiantian12,Zhang Yuan13,Ye Xiaofei1,Hou Yongfang4,Liu Jia4,Shi Wentao1,Xu Jinfang1,Guo Xiaojing1,He Jia15ORCID

Affiliation:

1. Department of Health Statistics; Second Military Medical University; Shanghai China

2. General Hospital of Jinan Military Command; Jinan Shandong China

3. Quality Control Section, Department of Medical Affairs; Hangzhou China

4. National Center for ADR Monitoring; Beijing China

5. Tongji University School of Medicine; Shanghai China

Funder

National Nature Science Foundation of China

Fourth Round of Three-year Action Plan on Public Health Discipline and Talent Program: Evidence-based Public Health and Health Economics

Nature Science Foundation of Shanghai

Shanghai municipal commission of health and family planning fund for excellent young scholars

Publisher

Wiley

Subject

Pharmacology (medical),Epidemiology

Reference36 articles.

1. Signal detection based on time to onset algorithm in spontaneous reporting system of China;Zhang;Drug Saf,2017

2. China Food and Drug Administration Annual report for national adverse drug reaction monitoring released 2016 http://www.sda.gov.cn/WS01/CL1033/172168.html

3. Novel statistical tools for monitoring the safety of marketed drugs;Almenoff;Clin Pharmacol Ther,2007

4. Use of proportional reporting ratios (PRRs) for signal generation from spontaneous adverse drug reaction reports;Evans;Pharmacoepidemiol Drug Saf,2001

5. A Bayesian neural network method for adverse drug reaction signal generation;Bate;Eur J Clin Pharmacol,1998

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