AIMC Topic: Pharmacovigilance

Clear Filters Showing 51 to 60 of 105 articles

Utilizing Advanced Technologies to Augment Pharmacovigilance Systems: Challenges and Opportunities.

Therapeutic innovation & regulatory science Dec 28, 2019
There are significant challenges and opportunities in deploying and utilizing advanced information technology (IT) within pharmacovigilance (PV) systems and across the pharmaceutical industry. Various aspects of PV will benefit from automation (e.g.,...
Technology Pharmacovigilance Drug Industry
View on PubMed DOI

RedMed: Extending drug lexicons for social media applications.

Journal of biomedical informatics Oct 15, 2019
Social media has been identified as a promising potential source of information for pharmacovigilance. The adoption of social media data has been hindered by the massive and noisy nature of the data. Initial attempts to use social media data have rel...
Humans Social Media Information Dissemination Pharmacovigilance Databases, Pharmaceutical Pharmaceutical Preparations Data Mining Natural Language Processing
View on PubMed DOI

Making Sense of Pharmacovigilance and Drug Adverse Event Reporting: Comparative Similarity Association Analysis Using AI Machine Learning Algorithms in Dogs and Cats.

Topics in companion animal medicine Sep 30, 2019
Drug-associated adverse events cause approximately 30 billion dollars a year of added health care expense, along with negative health outcomes including patient death. This constitutes a major public health concern. The US Food and Drug Administratio...
Macrolides Animals Pharmacovigilance Drug Combinations Cats Drug-Related Side Effects and Adverse Reactions Artificial Intelligence Ivermectin Dogs Machine Learning Algorithms
View on PubMed DOI

Comparison of text processing methods in social media-based signal detection.

Pharmacoepidemiology and drug safety Aug 7, 2019
PURPOSE: Adverse event (AE) identification in social media (SM) can be performed using various types of natural language processing (NLP) and machine learning (ML). These methods can be categorized by complexity and precision level. Co-occurrence-bas...
Adverse Drug Reaction Reporting Systems Data Collection Pharmacovigilance False Negative Reactions False Positive Reactions Datasets as Topic Natural Language Processing Feasibility Studies Drug-Related Side Effects and Adverse Reactions Sensitivity and Specificity Social Media Retrospective Studies
View on PubMed DOI

Artificial Intelligence for Drug Toxicity and Safety.

Trends in pharmacological sciences Aug 2, 2019
Interventional pharmacology is one of medicine's most potent weapons against disease. These drugs, however, can result in damaging side effects and must be closely monitored. Pharmacovigilance is the field of science that monitors, detects, and preve...
Artificial Intelligence Machine Learning Animals Humans Pharmacovigilance Quantitative Structure-Activity Relationship Toxicity Tests Drug Evaluation, Preclinical Drug-Related Side Effects and Adverse Reactions Adverse Drug Reaction Reporting Systems Product Surveillance, Postmarketing
View on PubMed DOI

A distant supervision based approach to medical persona classification.

Journal of biomedical informatics May 11, 2019
Identifying medical persona from a social media post is critical for drug marketing, pharmacovigilance and patient recruitment. Medical persona classification aims to computationally model the medical persona associated with a social media post. We p...
Health Personnel Deep Learning Neural Networks, Computer Pharmacovigilance Social Media Humans
View on PubMed DOI

An adverse drug effect mentions extraction method based on weighted online recurrent extreme learning machine.

Computer methods and programs in biomedicine Apr 30, 2019
BACKGROUND AND OBJECTIVE: Automatic extraction of adverse drug effect (ADE) mentions from biomedical texts is a challenging research problem that has attracted significant attention from the pharmacovigilance and biomedical text mining communities. I...
Software Algorithms Reproducibility of Results Publications Databases, Factual Humans Neural Networks, Computer Pharmacovigilance Machine Learning Drug-Related Side Effects and Adverse Reactions Semantics Data Mining
View on PubMed DOI

Machine learning on adverse drug reactions for pharmacovigilance.

Drug discovery today Mar 12, 2019
Machine learning, especially deep learning, has the predictive power to predict adverse drug reactions, repurpose drugs and perform precision medicine. We provide a background of machine learning and propose a potential high-performance deep learning...
Drug-Related Side Effects and Adverse Reactions Humans Pharmacovigilance Machine Learning
View on PubMed DOI

Similarity-based machine learning support vector machine predictor of drug-drug interactions with improved accuracies.

Journal of clinical pharmacy and therapeutics Dec 18, 2018
WHAT IS KNOWN AND OBJECTIVE: Drug-drug interactions (DDI) are frequent causes of adverse clinical drug reactions. Efforts have been directed at the early stage to achieve accurate identification of DDI for drug safety assessments, including the devel...
Databases, Factual Drug-Related Side Effects and Adverse Reactions Humans Computer Simulation Support Vector Machine Pharmacovigilance Reproducibility of Results Machine Learning Drug Interactions
View on PubMed DOI

Innovation in Pharmacovigilance: Use of Artificial Intelligence in Adverse Event Case Processing.

Clinical pharmacology and therapeutics Dec 11, 2018
Automation of pharmaceutical safety case processing represents a significant opportunity to affect the strongest cost driver for a company's overall pharmacovigilance budget. A pilot was undertaken to test the feasibility of using artificial intellig...
Humans Artificial Intelligence Adverse Drug Reaction Reporting Systems Databases, Factual Drug-Related Side Effects and Adverse Reactions Pharmacovigilance
View on PubMed DOI
Popular Topics
Recent Journals