Data mining spontaneous adverse drug event reports for safety signals in Singapore – a comparison of three different disproportionality measures
10.1517/14740338.2016.1167184
Saved in:
Main Authors: | Ang, Pei San, Chen, Zhaojin, Chan, Cheng Leng, Tai, Bee Choo |
---|---|
Other Authors: | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH |
Format: | Article |
Published: |
Taylor & Francis
2016
|
Online Access: | http://scholarbank.nus.edu.sg/handle/10635/128809 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | National University of Singapore |
Similar Items
-
“IF YOU KNOW SECRET SOCIETIES, YOU WILL KNOW DRUG”: CONTEXTUALISING THE STATISTICAL DISPROPORTIONALITY OF MALAY DRUG ABUSERS IN SINGAPORE
by: JUSTIN MAY CHENG WEI
Published: (2020) -
Medication errors and adverse drug events: Analysis from perioperative anesthetic adverse events in Thailand (PAAD Thai study)
by: Surunchana Lerdsirisopon, et al.
Published: (2018) -
Medication errors and adverse drug events: Analysis from perioperative anesthetic adverse events in Thailand (PAAD Thai study)
by: Surunchana Lerdsirisopon, et al.
Published: (2019) -
Adverse drug events in rheumatoid arthritis and osteoarthritis ambulatory patients
by: Pramote Tragulpiankit, et al.
Published: (2018) -
DETECTION OF ADVERSE DRUG EVENTS USING ELECTRONIC HEALTH RECORDS
by: JIANG LIU
Published: (2023)