AIMC Topic: Drug-Related Side Effects and Adverse Reactions

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Adverse drug event detection using natural language processing: A scoping review of supervised learning methods.

PloS one Jan 3, 2023
To reduce adverse drug events (ADEs), hospitals need a system to support them in monitoring ADE occurrence routinely, rapidly, and at scale. Natural language processing (NLP), a computerized approach to analyze text data, has shown promising results ...
Humans Electronic Health Records Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Natural Language Processing Supervised Machine Learning
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LiSA: an assisted literature search pipeline for detecting serious adverse drug events with deep learning.

BMC medical informatics and decision making Dec 22, 2022
INTRODUCTION: Detecting safety signals attributed to a drug in scientific literature is a fundamental issue in pharmacovigilance. The constant increase in the volume of publications requires the automation of this tedious task, in order to find and e...
Reproducibility of Results Deep Learning Humans Algorithms Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems
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Predicting adverse drug effects: A heterogeneous graph convolution network with a multi-layer perceptron approach.

PloS one Dec 14, 2022
We apply a heterogeneous graph convolution network (GCN) combined with a multi-layer perceptron (MLP) denoted by GCNMLP to explore the potential side effects of drugs. Here the SIDER, OFFSIDERS, and FAERS are used as the datasets. We integrate the dr...
Algorithms Drug-Related Side Effects and Adverse Reactions Neural Networks, Computer Humans Machine Learning
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Developing a deep learning natural language processing algorithm for automated reporting of adverse drug reactions.

Journal of biomedical informatics Dec 1, 2022
The detection of adverse drug reactions (ADRs) is critical to our understanding of the safety and risk-benefit profile of medications. With an incidence that has not changed over the last 30 years, ADRs are a significant source of patient morbidity, ...
Pharmacovigilance Adverse Drug Reaction Reporting Systems Algorithms Deep Learning Humans Natural Language Processing Drug-Related Side Effects and Adverse Reactions
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[Not Available].

Therapie Nov 25, 2022
Pharmacovigilance Automation Artificial Intelligence Drug-Related Side Effects and Adverse Reactions Humans
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What place for intelligent automation and artificial intelligence to preserve and strengthen vigilance expertise in the face of increasing declarations?

Therapie Nov 25, 2022
In 2018, the "Ateliers de Giens" (Giens Workshops) devoted a workshop to artificial intelligence (AI) and led its experts to confirm the potential contribution and theoretical benefit of AI in clinical research, pharmacovigilance, and in improving th...
Drug Industry Automation Drug-Related Side Effects and Adverse Reactions Pharmacovigilance Humans Artificial Intelligence
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Investigation of a Data Split Strategy Involving the Time Axis in Adverse Event Prediction Using Machine Learning.

Journal of chemical information and modeling Aug 16, 2022
Adverse events are a serious issue in drug development, and many prediction methods using machine learning have been developed. The random split cross-validation is the de facto standard for model building and evaluation in machine learning, but care...
Algorithms Machine Learning Drug-Related Side Effects and Adverse Reactions Forecasting Datasets as Topic
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An empirical evaluation of sampling methods for the classification of imbalanced data.

PloS one Jul 28, 2022
In numerous classification problems, class distribution is not balanced. For example, positive examples are rare in the fields of disease diagnosis and credit card fraud detection. General machine learning methods are known to be suboptimal for such ...
Area Under Curve Humans Algorithms Drug-Related Side Effects and Adverse Reactions Machine Learning ROC Curve
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Language-agnostic pharmacovigilant text mining to elicit side effects from clinical notes and hospital medication records.

Basic & clinical pharmacology & toxicology Jul 26, 2022
We sought to craft a drug safety signalling pipeline associating latent information in clinical free text with exposures to single drugs and drug pairs. Data arose from 12 secondary and tertiary public hospitals in two Danish regions, comprising appr...
Humans Electronic Health Records Language Data Mining Natural Language Processing Hospitals Drug-Related Side Effects and Adverse Reactions
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Utilizing Deep Learning for Detecting Adverse Drug Events in Structured and Unstructured Regulatory Drug Data Sets.

Pharmaceutical medicine Jul 24, 2022
BACKGROUND: The US Food and Drug Administration (FDA) collects and retains several data sets on post-market drugs and associated adverse events (AEs). The FDA Adverse Event Reporting System (FAERS) contains millions of AE reports submitted by the pub...
United States United States Food and Drug Administration Pharmaceutical Preparations Humans Adverse Drug Reaction Reporting Systems Drug-Related Side Effects and Adverse Reactions Deep Learning
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