“Artificial intelligence” for pharmacovigilance: ready for prime time?
R Ball, G Dal Pan - Drug safety, 2022 - Springer
There is great interest in the application of 'artificial intelligence'(AI) to pharmacovigilance
(PV). Although US FDA is broadly exploring the use of AI for PV, we focus on the application …
(PV). Although US FDA is broadly exploring the use of AI for PV, we focus on the application …
Adverse drug event detection from electronic health records using hierarchical recurrent neural networks with dual-level embedding
Introduction Adverse drug event (ADE) detection is a vital step towards effective
pharmacovigilance and prevention of future incidents caused by potentially harmful ADEs …
pharmacovigilance and prevention of future incidents caused by potentially harmful ADEs …
Predicting adverse drug reactions from social media posts: data balance, feature selection and deep learning
JY Huang, WP Lee, KD Lee - Healthcare, 2022 - mdpi.com
Social forums offer a lot of new channels for collecting patients' opinions to construct
predictive models of adverse drug reactions (ADRs) for post-marketing surveillance …
predictive models of adverse drug reactions (ADRs) for post-marketing surveillance …
Transparent reporting on research using unstructured electronic health record data to generate 'real world'evidence of comparative effectiveness and safety
Research that makes secondary use of administrative and clinical healthcare databases is
increasingly influential for regulatory, reimbursement, and other healthcare decision-making …
increasingly influential for regulatory, reimbursement, and other healthcare decision-making …
A proposal for the supplementation of traditional Postmarket Surveillance systems based on Named Entity Recognition
Nowadays vaccines against COVID-19 have begun to be applied and some adverse events
may arise. Postmarket surveillance studies are important to obtain information about rare …
may arise. Postmarket surveillance studies are important to obtain information about rare …
[PDF][PDF] Deep Learning Strategies for Automatic Detection of Medication and Adverse Drug Events from Electronic Health Records.
Background. Detecting the occurrence of adverse drug events (ADEs) and related medical
information is an integral step towards the prevention of future critical ADE incidents …
information is an integral step towards the prevention of future critical ADE incidents …
Multi-layered Learning for Information Extraction from Adverse Drug Event Narratives
Recognizing named entities in Adverse Drug Reactions narratives is a crucial step towards
extracting valuable patient information from unstructured text and transforming the …
extracting valuable patient information from unstructured text and transforming the …