Detalhe da pesquisa
1.
A risk classification model for prioritising the management of quality issues relating to substandard medicines in Singapore.
Pharmacoepidemiol Drug Saf
; 31(7): 729-738, 2022 07.
Artigo
em Inglês
| MEDLINE | ID: mdl-35366030
2.
Comparison of laboratory threshold criteria in drug-induced liver injury detection algorithms for use in pharmacovigilance.
Pharmacoepidemiol Drug Saf
; 29(11): 1480-1488, 2020 11.
Artigo
em Inglês
| MEDLINE | ID: mdl-32844466
3.
Application and optimisation of the Comparison on Extreme Laboratory Tests (CERT) algorithm for detection of adverse drug reactions: Transferability across national boundaries.
Pharmacoepidemiol Drug Saf
; 27(1): 87-94, 2018 01.
Artigo
em Inglês
| MEDLINE | ID: mdl-29108136
4.
An updated analysis on myocarditis and pericarditis cases reported following mRNA SARS-CoV-2 vaccination in Singapore.
Singapore Med J
; 2024 Feb 16.
Artigo
em Inglês
| MEDLINE | ID: mdl-38363732
5.
Automated Classification of Quality Defect Issues Relating to Substandard Medicines Using a Hybrid Machine Learning and Rule-Based Approach.
Drug Saf
; 46(10): 975-989, 2023 10.
Artigo
em Inglês
| MEDLINE | ID: mdl-37776421
6.
Nationwide safety surveillance of COVID-19 mRNA vaccines following primary series and first booster vaccination in Singapore.
Vaccine X
; 15: 100419, 2023 Dec.
Artigo
em Inglês
| MEDLINE | ID: mdl-38130887
7.
Applying the OMOP Common Data Model to Facilitate Benefit-Risk Assessments of Medicinal Products Using Real-World Data from Singapore and South Korea.
Healthc Inform Res
; 28(2): 112-122, 2022 Apr.
Artigo
em Inglês
| MEDLINE | ID: mdl-35576979
8.
Combining Machine Learning with a Rule-Based Algorithm to Detect and Identify Related Entities of Documented Adverse Drug Reactions on Hospital Discharge Summaries.
Drug Saf
; 45(8): 853-862, 2022 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-35794349
9.
Augmenting Product Defect Surveillance Through Web Crawling and Machine Learning in Singapore.
Drug Saf
; 44(9): 939-948, 2021 09.
Artigo
em Inglês
| MEDLINE | ID: mdl-34148223
10.
Quantitative data mining in signal detection: the Singapore experience.
Expert Opin Drug Saf
; 19(5): 633-639, 2020 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-32092284
11.
Detecting adverse drug reactions in discharge summaries of electronic medical records using Readpeer.
Int J Med Inform
; 128: 62-70, 2019 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-31160013
12.
A Survey on Pharmacovigilance Activities in ASEAN and Selected Non-ASEAN Countries, and the Use of Quantitative Signal Detection Algorithms.
Drug Saf
; 40(6): 517-530, 2017 06.
Artigo
em Inglês
| MEDLINE | ID: mdl-28247278
13.
Detecting Signals of Disproportionate Reporting from Singapore's Spontaneous Adverse Event Reporting System: An Application of the Sequential Probability Ratio Test.
Drug Saf
; 40(8): 703-713, 2017 08.
Artigo
em Inglês
| MEDLINE | ID: mdl-28455793
14.
Data mining spontaneous adverse drug event reports for safety signals in Singapore - a comparison of three different disproportionality measures.
Expert Opin Drug Saf
; 15(5): 583-90, 2016 May.
Artigo
em Inglês
| MEDLINE | ID: mdl-26996192
15.
Bilateral posterior ischemic optic neuropathy associated with use of sildenafil.
J Neuroophthalmol
; 28(1): 75, 2008 Mar.
Artigo
em Inglês
| MEDLINE | ID: mdl-18347465