Information retrieval and text mining technologies for chemistry
Efficient access to chemical information contained in scientific literature, patents, technical
reports, or the web is a pressing need shared by researchers and patent attorneys from …
reports, or the web is a pressing need shared by researchers and patent attorneys from …
Text mining for adverse drug events: the promise, challenges, and state of the art
Text mining is the computational process of extracting meaningful information from large
amounts of unstructured text. It is emerging as a tool to leverage underutilized data sources …
amounts of unstructured text. It is emerging as a tool to leverage underutilized data sources …
A curated and standardized adverse drug event resource to accelerate drug safety research
Identification of adverse drug reactions (ADRs) during the post-marketing phase is one of
the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) …
the most important goals of drug safety surveillance. Spontaneous reporting systems (SRS) …
Evaluating large-scale propensity score performance through real-world and synthetic data experiments
Y Tian, MJ Schuemie… - International journal of …, 2018 - academic.oup.com
Background Propensity score adjustment is a popular approach for confounding control in
observational studies. Reliable frameworks are needed to determine relative propensity …
observational studies. Reliable frameworks are needed to determine relative propensity …
Text and data mining techniques in adverse drug reaction detection
We review data mining and related computer science techniques that have been studied in
the area of drug safety to identify signals of adverse drug reactions from different data …
the area of drug safety to identify signals of adverse drug reactions from different data …
[HTML][HTML] Accuracy of an automated knowledge base for identifying drug adverse reactions
Introduction Drug safety researchers seek to know the degree of certainty with which a
particular drug is associated with an adverse drug reaction. There are different sources of …
particular drug is associated with an adverse drug reaction. There are different sources of …
Improving reproducibility by using high-throughput observational studies with empirical calibration
Concerns over reproducibility in science extend to research using existing healthcare data;
many observational studies investigating the same topic produce conflicting results, even …
many observational studies investigating the same topic produce conflicting results, even …
Social media listening for routine post-marketing safety surveillance
GE Powell, HA Seifert, T Reblin, PJ Burstein, J Blowers… - Drug safety, 2016 - Springer
Introduction Post-marketing safety surveillance primarily relies on data from spontaneous
adverse event reports, medical literature, and observational databases. Limitations of these …
adverse event reports, medical literature, and observational databases. Limitations of these …
Combination of deep recurrent neural networks and conditional random fields for extracting adverse drug reactions from user reviews
E Tutubalina, S Nikolenko - Journal of healthcare engineering, 2017 - Wiley Online Library
Adverse drug reactions (ADRs) are an essential part of the analysis of drug use, measuring
drug use benefits, and making policy decisions. Traditional channels for identifying ADRs …
drug use benefits, and making policy decisions. Traditional channels for identifying ADRs …
A new paradigm in adverse drug reaction reporting: consolidating the evidence for an intervention to improve reporting
Introduction Adverse drug reaction (ADR) under-reporting is highly prevalent internationally
and interventions created to address this problem have only been temporarily successful …
and interventions created to address this problem have only been temporarily successful …