AIMC Topic: Pharmacovigilance

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Natural Language Processing for EHR-Based Pharmacovigilance: A Structured Review.

Drug safety Nov 1, 2017
The goal of pharmacovigilance is to detect, monitor, characterize and prevent adverse drug events (ADEs) with pharmaceutical products. This article is a comprehensive structured review of recent advances in applying natural language processing (NLP) ...
Humans Electronic Health Records Natural Language Processing Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Adverse Drug Reaction Reporting Systems
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Deep learning for pharmacovigilance: recurrent neural network architectures for labeling adverse drug reactions in Twitter posts.

Journal of the American Medical Informatics Association : JAMIA Jul 1, 2017
OBJECTIVE: Social media is an important pharmacovigilance data source for adverse drug reaction (ADR) identification. Human review of social media data is infeasible due to data quantity, thus natural language processing techniques are necessary. Soc...
Humans Neural Networks, Computer Machine Learning Social Media Natural Language Processing Drug-Related Side Effects and Adverse Reactions Pharmacovigilance
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Adverse Drug Event Monitoring with Clinical and Laboratory Data Using Arden Syntax.

Studies in health technology and informatics Jan 1, 2017
In times of steadily increasing numbers of administered drugs, the detection of adverse drug events (ADEs) is an important aspect of improving patient safety. At present only about 1-13% of detected ADEs are reported. Raising the number of reported A...
Humans Patient Safety Drug Monitoring Drug-Related Side Effects and Adverse Reactions Knowledge Bases Pharmacovigilance Adverse Drug Reaction Reporting Systems Hyperkalemia
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Digital Pharmacovigilance and Disease Surveillance: Combining Traditional and Big-Data Systems for Better Public Health.

The Journal of infectious diseases Dec 1, 2016
The digital revolution has contributed to very large data sets (ie, big data) relevant for public health. The two major data sources are electronic health records from traditional health systems and patient-generated data. As the two data sources hav...
Humans Data Collection Pharmacovigilance Information Storage and Retrieval Epidemiological Monitoring
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Exploring brand-name drug mentions on Twitter for pharmacovigilance.

Studies in health technology and informatics Jan 1, 2015
Twitter has been proposed by several studies as a means to track public health trends such as influenza and Ebola outbreaks by analyzing user messages in order to measure different population features and interests. In this work we analyze the number...
Population Surveillance Social Media Natural Language Processing Data Mining Pharmacovigilance Pattern Recognition, Automated Terminology as Topic Vocabulary, Controlled Adverse Drug Reaction Reporting Systems Prescription Drugs
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