Results 21 to 30 of about 47,791 (152)

Artificial Intelligence-Based Pharmacovigilance in the Setting of Limited Resources

Drug Safety, 2022
With the rapid development of artificial intelligence (AI) technologies, and the large amount of pharmacovigilance-related data stored in an electronic manner, data-driven automatic methods need to be urgently applied to all aspects of pharmacovigilance ...
Likeng Liang, Jifa Hu, Gang Sun, N. Hong, Genyou Wu, Yuejun He, Yong Li, Tianyong Hao, Li Liu, Mengchun Gong   +9 more
semanticscholar   +1 more source

Adverse Effects of Cholinesterase Inhibitors in Dementia, According to the Pharmacovigilance Databases of the United-States and Canada. [PDF]

, 2015
This survey analyzes two national pharmacovigilance databases in order to determine the major adverse reactions observed with the use of cholinesterase inhibitors in dementia.
Abagyan, Ruben, Ali, Thibault B, Chen, Winston Yuchen, Reilly, Brian M, Schleret, Thomas R   +4 more
core   +3 more sources

Safety of Non-Steroidal Anti-Inflammatory Drugs in the Elderly: An Analysis of Published Literature and Reports Sent to the Portuguese Pharmacovigilance System

International Journal of Environmental Research and Public Health, 2022
Non-steroidal anti-inflammatory drugs (NSAIDs) are the most frequently used agents to treat musculoskeletal disorders (principally by the elderly), thus raising the risk of adverse drug reactions (ADRs). This work aims to monitor NSAIDs safety profile in
Cristina Monteiro, S. Silvestre, A. P. Duarte, G. Alves   +3 more
semanticscholar   +1 more source

Antipsychotics and Torsadogenic Risk: Signals Emerging from the US FDA Adverse Event Reporting System Database [PDF]

, 2013
Background: Drug-induced torsades de pointes (TdP) and related clinical entities represent a current regulatory and clinical burden. Objective: As part of the FP7 ARITMO (Arrhythmogenic Potential of Drugs) project, we explored the publicly available US ...
A Bate, A Clarke, A Pariente, AK Chung, Ariola Koci, B Darpo, BJ Drew, C Meyer-Massetti, DM Roden, DW Hough, E Poluzzi, E Poluzzi, E Poluzzi, E Raschi, E Raschi, Edoardo Spina, Elijah R. Behr, Elisabetta Poluzzi, Emanuel Raschi, EP Puijenbroek van, ER Behr, F Ponti De, F Ponti De, F Rani, Fabrizio De Ponti, GC Alexander, GK Isbister, H Verdoux, J Nielsen, J Papay, K Jolly, K Titier, LC Wittkampf, LS Schneider, Miriam Sturkenboom, NP Tatonetti, P Kannankeril, P Manu, P Vigneault, RC Owens Jr, RR Shah, S Dhillon, S Hennessy, S Kongsamut, S Leucht, SM Straus, Ugo Moretti, W Crumb, W Crumb, WA Ray, WA Ray, WJ Crumb Jr, WP Stephenson, Y Suzuki   +53 more
core   +3 more sources

Analysis of pharmacovigilance databases for spontaneous reports of adverse drug reactions related to substandard and falsified medical products: A descriptive study

Frontiers in Pharmacology, 2022
Introduction: The public health threat of substandard and falsified medicines has been well known in the last two decades, and several studies focusing on the identification of products affected and preventing consumption have been published.
Kevin Pozsgai, G. Szűcs, A. Kőnig-Péter, O. Balázs, P. Vajda, L. Botz, R. Vida   +6 more
semanticscholar   +1 more source

The promotion of data sharing in pharmacoepidemiology [PDF]

, 2014
This article addresses the role of pharmacoepidemiology in patient safety and the crucial role of data sharing in ensuring that such activities occur. Against the backdrop of proposed reforms of European data protection legislation, it considers whether ...
Sethi, Nayha
core   +1 more source

Pharmacovigilance and Its Importance for Primary Health Care Professionals

Korean Journal of Family Medicine, 2022
Pharmacovigilance is used to detect, assess, understand, and prevent the adverse effects of medications. The need for safety monitoring has evolved around unfortunate incidents in history, with deaths caused by anesthesia and congenital malformations ...
A. Hamid, R. Rahim, S. Teo
semanticscholar   +1 more source

Using Machine Learning for Pharmacovigilance: A Systematic Review

Pharmaceutics, 2022
Pharmacovigilance is a science that involves the ongoing monitoring of adverse drug reactions to existing medicines. Traditional approaches in this field can be expensive and time-consuming. The application of natural language processing (NLP) to analyze
Patrick Pilipiec, M. Liwicki, András Bóta   +2 more
semanticscholar   +1 more source

Social media mining for identification and exploration of health-related information from pregnant women [PDF]

, 1989
Widespread use of social media has led to the generation of substantial amounts of information about individuals, including health-related information.
Chandrashekar, Pramod Bharadwaj, Magge, Arjun, Sarker, Abeed, Gonzalez, Graciela   +3 more
core   +8 more sources

Reported adverse drug reactions during the use of inhaled steroids in children with asthma in the Netherlands [PDF]

, 2006
Objective: Inhaled corticosteroids (ICS) are widely used in the treatment of asthma. We studied the suspected adverse drug reactions (sADRs) reported during the use of ICS in the Netherlands. Methods: In the Netherlands, health professionals and patients
de Jong-van den Berg, L.T.W., de Vries, T.W., Duiverman, E.J., Langen-Wouterse, J.J., van Puijenbroek, E.   +4 more
core   +1 more source