AIMC Topic: Pharmacovigilance

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Data and systems for medication-related text classification and concept normalization from Twitter: insights from the Social Media Mining for Health (SMM4H)-2017 shared task.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: We executed the Social Media Mining for Health (SMM4H) 2017 shared tasks to enable the community-driven development and large-scale evaluation of automatic text processing methods for the classification and normalization of health-related ...
Support Vector Machine Social Media Humans Neural Networks, Computer Data Mining Pharmacovigilance Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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A chronological pharmacovigilance network analytics approach for predicting adverse drug events.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVES: This study extends prior research by combining a chronological pharmacovigilance network approach with machine-learning (ML) techniques to predict adverse drug events (ADEs) based on the drugs' similarities in terms of the proteins they t...
Humans Drug-Related Side Effects and Adverse Reactions Models, Theoretical Pharmacovigilance Machine Learning Adverse Drug Reaction Reporting Systems Drug Interactions Datasets as Topic Algorithms Computer Communication Networks
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Learning predictive models of drug side-effect relationships from distributed representations of literature-derived semantic predications.

Journal of the American Medical Informatics Association : JAMIA Oct 1, 2018
OBJECTIVE: The aim of this work is to leverage relational information extracted from biomedical literature using a novel synthesis of unsupervised pretraining, representational composition, and supervised machine learning for drug safety monitoring.
Supervised Machine Learning Drug-Related Side Effects and Adverse Reactions Humans Natural Language Processing Semantics Data Mining Pharmacovigilance Product Surveillance, Postmarketing Databases, Bibliographic
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Drug-drug interaction extraction via hierarchical RNNs on sequence and shortest dependency paths.

Bioinformatics (Oxford, England) Mar 1, 2018
MOTIVATION: Adverse events resulting from drug-drug interactions (DDI) pose a serious health issue. The ability to automatically extract DDIs described in the biomedical literature could further efforts for ongoing pharmacovigilance. Most of neural n...
Publications Drug Interactions Data Mining Pharmacovigilance Humans Neural Networks, Computer
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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) ...
Pharmacovigilance Adverse Drug Reaction Reporting Systems Humans Natural Language Processing Electronic Health Records Drug-Related Side Effects and Adverse Reactions
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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 Pharmacovigilance Natural Language Processing Drug-Related Side Effects and Adverse Reactions Machine Learning Social Media
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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...
Adverse Drug Reaction Reporting Systems Hyperkalemia Knowledge Bases Pharmacovigilance Drug Monitoring Humans Drug-Related Side Effects and Adverse Reactions Patient Safety
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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...
Pharmacovigilance Epidemiological Monitoring Humans Information Storage and Retrieval Data Collection
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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...
Pattern Recognition, Automated Population Surveillance Terminology as Topic Social Media Prescription Drugs Vocabulary, Controlled Data Mining Natural Language Processing Adverse Drug Reaction Reporting Systems Pharmacovigilance
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