Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Darren Dorrell"'
Publikováno v:
Drug Safety. 45:1529-1538
In 2018, we published the MONARCSi algorithmic decision support tool showing high inter-rater agreement, moderate sensitivity, and high specificity compared with drug-event pairs (DEPs) previously reviewed using current, industry-established approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5dbb31ae334de93dbec121bbe268498b
https://doi.org/10.1007/s40264-022-01245-5
https://doi.org/10.1007/s40264-022-01245-5
MOdified NARanjo Causality Scale for ICSRs (MONARCSi): A Decision Support Tool for Safety Scientists
Publikováno v:
Drug Safety
Introduction Within the field of Pharmacovigilance, the most common approaches for assessing causality between a report of a drug and a corresponding adverse event are clinical judgment, probabilistic methods and algorithms. Although multiple methods
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::25a04be19fd7eb7424c4f9552e780097
https://doi.org/10.1007/s40264-018-0690-y
https://doi.org/10.1007/s40264-018-0690-y
Autor:
Cartic Ramakrishnan, Sujan Perera, Meenakshi Nagarajan, J. T. Fine, Shawman Meireis, Shaun Comfort, Zoe Hudson, Darren Dorrell
Publikováno v:
Drug Safety
Introduction There is increasing interest in social digital media (SDM) as a data source for pharmacovigilance activities; however, SDM is considered a low information content data source for safety data. Given that pharmacovigilance itself operates
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed4de2a13f782497bbdf4dfc924adf93
http://europepmc.org/articles/PMC5966485
http://europepmc.org/articles/PMC5966485