ADReCS: an ontology database for aiding standardization and hierarchical classification of adverse drug reaction terms

MC Cai, Q Xu, YJ Pan, W Pan, N Ji, YB Li… - Nucleic acids …, 2015 - academic.oup.com
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 …

[Retracted] A Data‐Driven Medical Decision Framework for Associating Adverse Drug Events with Drug‐Drug Interaction Mechanisms

A Noor - Journal of Healthcare Engineering, 2022 - Wiley Online Library
Adverse drug events (ADEs) occur when multiple drugs interact within an individual, thus
causing effects that were not initially predicted. Such toxic interactions lead to morbidity and …

[PDF][PDF] An Ontological Representation of Adverse Drug Events.

G Jiang, JD Duke, J Pathak, CG Chute - ICBO, 2011 - academia.edu
A standardized, controlled vocabulary allows adverse drug events (ADE) information to be
described in an unambiguous way in knowledge bases, which is critical for clinical decision …

[HTML][HTML] Development of an adverse drug event network to predict drug toxicity

Q Wu, O Taboureau, K Audouze - Current Research in Toxicology, 2020 - Elsevier
Despite of their therapeutic effects, drug's exposure may have negative effects on human
health such as adverse drug reaction (ADR) and side effects (SE). Adverse drug events …

Machine learning guided association of adverse drug reactions with in vitro target-based pharmacology

R Ietswaart, S Arat, AX Chen, S Farahmand, B Kim… - …, 2020 - thelancet.com
Abstract Background Adverse drug reactions (ADRs) are one of the leading causes of
morbidity and mortality in health care. Understanding which drug targets are linked to ADRs …

Concordance and predictive value of two adverse drug event data sets

A Cami, BY Reis - BMC Medical Informatics and Decision Making, 2014 - Springer
Background Accurate prediction of adverse drug events (ADEs) is an important means of
controlling and reducing drug-related morbidity and mortality. Since no single “gold …

Predicting adverse side effects of drugs

LC Huang, X Wu, JY Chen - BMC genomics, 2011 - Springer
Background Studies of toxicity and unintended side effects can lead to improved drug safety
and efficacy. One promising form of study comes from molecular systems biology in the form …

Study of the Drug-related Adverse Events with the Help of Electronic Health Records and Natural Language Processing

S Allabun, BO Soufiene - International Journal of Advanced …, 2023 - search.proquest.com
Surveillance of pharmacovigilance, also known as drug safety surveillance, involves the
monitoring and evaluation of drug-related adverse events or side effects to ensure the safe …

Explainable Artificial Intelligence for Patient Safety: A Review of Application in Pharmacovigilance

S Lee, S Kim, J Lee, JY Kim, MH Song, S Lee - IEEE Access, 2023 - ieeexplore.ieee.org
Explainable AI (XAI) is a methodology that complements the black box of artificial
intelligence, and its necessity has recently been highlighted in various fields. The purpose of …

Analysis of adverse drug reactions using drug and drug target interactions and graph-based methods

SF Lin, KT Xiao, YT Huang, CC Chiu… - Artificial intelligence in …, 2010 - Elsevier
OBJECTIVE: The purpose of this study was to integrate knowledge about drugs, drug
targets, and topological methods. The goals were to build a system facilitating the study of …