Data mining spontaneous adverse drug event reports for safety signals in Singapore – a comparison of three different disproportionality measures-Reference-Cited by-同舟云学术

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Data mining spontaneous adverse drug event reports for safety signals in Singapore – a comparison of three different disproportionality measures

Published:2016-04-07 Issue:5 Volume:15 Page:583-590
ISSN:1474-0338
Container-title:Expert Opinion on Drug Safety
language:en
Short-container-title:Expert Opinion on Drug Safety

Author:

Ang Pei San¹,Chen Zhaojin²,Chan Cheng Leng¹,Tai Bee Choo³⁴

Affiliation:

1. Vigilance & Compliance Branch, Health Products Regulation Group, Health Sciences Authority, Singapore

2. Investigational Medicine Unit, National University Health System, Singapore

3. Saw Swee Hock School of Public Health, National University of Singapore, Singapore

4. Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore

Publisher

Informa Healthcare

Subject

Pharmacology (medical),General Medicine

Link

https://www.tandfonline.com/doi/pdf/10.1517/14740338.2016.1167184

Reference30 articles.

1. Who cares about pharmacovigilance?

2. stematic Signalling of Adverse Reactions to Drugs

3. Comparison of data mining methodologies using Japanese spontaneous reports

4. Applying quantitative methods for detecting new drug safety signals in pharmacovigilance national database

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