AIMC Topic: Drug-Related Side Effects and Adverse Reactions
Clear Filters Showing 221 to 230 of 322 articles
Handling Temporality of Clinical Events for Drug Safety Surveillance.
AMIA ... Annual Symposium proceedings. AMIA Symposium
Nov 5, 2015
Using longitudinal data in electronic health records (EHRs) for post-marketing adverse drug event (ADE) detection allows for monitoring patients throughout their medical history. Machine learning methods have been shown to be efficient and effective ...
Predicting drug side effects by multi-label learning and ensemble learning.
BMC bioinformatics
Nov 4, 2015
BACKGROUND: Predicting drug side effects is an important topic in the drug discovery. Although several machine learning methods have been proposed to predict side effects, there is still space for improvements. Firstly, the side effect prediction is ...
On the creation of a clinical gold standard corpus in Spanish: Mining adverse drug reactions.
Journal of biomedical informatics
Jun 30, 2015
The advances achieved in Natural Language Processing make it possible to automatically mine information from electronically created documents. Many Natural Language Processing methods that extract information from texts make use of annotated corpora,...
Adverse Drug Reaction Reporting Systems
Linguistics
Translating
Data Mining
Electronic Health Records
Pharmacovigilance
Language
Automation
Reproducibility of Results
Machine Learning
Algorithms
Pharmaceutical Preparations
Predictive Value of Tests
Drug-Related Side Effects and Adverse Reactions
Natural Language Processing
Exploring Spanish health social media for detecting drug effects.
BMC medical informatics and decision making
Jun 15, 2015
BACKGROUND: Adverse Drug reactions (ADR) cause a high number of deaths among hospitalized patients in developed countries. Major drug agencies have devoted a great interest in the early detection of ADRs due to their high incidence and increasing hea...
Comparing a knowledge-driven approach to a supervised machine learning approach in large-scale extraction of drug-side effect relationships from free-text biomedical literature.
BMC bioinformatics
Mar 18, 2015
BACKGROUND: Systems approaches to studying drug-side-effect (drug-SE) associations are emerging as an active research area for both drug target discovery and drug repositioning. However, a comprehensive drug-SE association knowledge base does not exi...
Pharmacogenomic knowledge representation, reasoning and genome-based clinical decision support based on OWL 2 DL ontologies.
BMC medical informatics and decision making
Feb 22, 2015
BACKGROUND: Every year, hundreds of thousands of patients experience treatment failure or adverse drug reactions (ADRs), many of which could be prevented by pharmacogenomic testing. However, the primary knowledge needed for clinical pharmacogenomics ...
Identifying predictive features in drug response using machine learning: opportunities and challenges.
Annual review of pharmacology and toxicology
Dec 12, 2014
This article reviews several techniques from machine learning that can be used to study the problem of identifying a small number of features, from among tens of thousands of measured features, that can accurately predict a drug response. Prediction ...
Humans
Neural Networks, Computer
Artificial Intelligence
Algorithms
Gene Expression Regulation, Neoplastic
Drug Discovery
Patient Safety
Risk Factors
Cluster Analysis
Antineoplastic Agents
Precision Medicine
Drug-Related Side Effects and Adverse Reactions
Animals
Patient Selection
Pharmacology
Gene Regulatory Networks
Risk Assessment
Pattern Recognition, Automated
Effect of reporting bias in the analysis of spontaneous reporting data.
Pharmaceutical statistics
Nov 6, 2014
It is well-known that a spontaneous reporting system suffers from significant under-reporting of adverse drug reactions from the source population. The existing methods do not adjust for such under-reporting for the calculation of measures of associa...
ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms.
Nucleic acids research
Oct 31, 2014
Adverse drug reactions (ADRs) are noxious and unexpected effects during normal drug therapy. They have caused significant clinical burden and been responsible for a large portion of new drug development failure. Molecular understanding and in silico ...
Functional evaluation of out-of-the-box text-mining tools for data-mining tasks.
Journal of the American Medical Informatics Association : JAMIA
Oct 21, 2014
OBJECTIVE: The trade-off between the speed and simplicity of dictionary-based term recognition and the richer linguistic information provided by more advanced natural language processing (NLP) is an area of active discussion in clinical informatics. ...
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