Results 81 to 90 of about 585,342 (345)
Evaluating adverse drug reactions associated with antibiotic use in a public sector hospital. [PDF]
, 2016 Masters Degree. University of KwaZulu-Natal, Durban.Background and Aim Antibiotics are one of the most troublesome classes of drugs contributing to adverse drug reactions. These adverse drug reactions are generally under reported.
Moyo, Nokuthemba Sibusiso.
core
Algorithms for assessing the probability of an Adverse Drug Reaction [PDF]
, 2009 Adverse Drug Reactions (ADRs) are common and are associated with significant risk of morbidity, mortality and admission to hospital. Deciding if a clinical event is an Adverse Drug Reaction, or not, can be difficult.
Doherty, Martin J.
core +1 more source
Severe Cutaneous Adverse Drug Reaction
Berkala Ilmu Kesehatan Kulit dan Kelamin (Periodical of Dermatology and Venerology), 2017 Background: Cutaneous adverse drug eruption (CADR) are frequently found. A systematic review showed, the incidence of severe CADR (SCADR) ranging from 0-8%. Few studies have assessed the severe form of CADR, which has high mortality rate.
Damayanti Damayanti +4 more
doaj +1 more source
Drug-drug interaction prediction based on co-medication patterns and graph matching [PDF]
arXiv, 2019 Background: The problem of predicting whether a drug combination of arbitrary orders is likely to induce adverse drug reactions is considered in this manuscript. Methods: Novel kernels over drug combinations of arbitrary orders are developed within support vector machines for the prediction.
arxiv
Drug hypersensitivity caused by alteration of the MHC-presented self-peptide repertoire [PDF]
, 2012 Idiosyncratic adverse drug reactions are unpredictable, dose independent and potentially life threatening; this makes them a major factor contributing to the cost and uncertainty of drug development. Clinical data suggest that many such reactions involve immune mechanisms, and genetic association studies have identified strong linkage between drug ...
arxiv +1 more source
HyGNN: Drug-Drug Interaction Prediction via Hypergraph Neural Network [PDF]
arXiv, 2022 Drug-Drug Interactions (DDIs) may hamper the functionalities of drugs, and in the worst scenario, they may lead to adverse drug reactions (ADRs). Predicting all DDIs is a challenging and critical problem. Most existing computational models integrate drug-centric information from different sources and leverage them as features in machine learning ...
arxiv
Journal of Applied Clinical Medical Physics, EarlyView.Abstract Purpose This study aims to quantify and compare the dosimetric effects of varying thicknesses of StrataXRT, a silicone‐based gel, and other topical agents on the skin surface during volumetric modulated arc therapy (VMAT) for breast cancer.
Tenyoh Suzuki +13 more
wiley +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective People with HIV (PWH) on antiretroviral therapy (ART) still experience neurocognitive dysfunction and accelerated brain volume loss. To assess whether the serotonergic and dopaminergic systems are affected, we used [11C]DASB positron emission tomography (PET) to assess presynaptic serotonergic function and [18F]FDOPA PET to measure ...
Chuen‐Yen Lau +12 more
wiley +1 more source
Drug Recommendation toward Safe Polypharmacy [PDF]
arXiv, 2018 Adverse drug reactions (ADRs) induced from high-order drug-drug interactions (DDIs) due to polypharmacy represent a significant public health problem. In this paper, we formally formulate the to-avoid and safe (with respect to ADRs) drug recommendation problems when multiple drugs have been taken simultaneously.
arxiv
Detect adverse drug reactions for drug Pioglitazone [PDF]
, 2013 In this study we propose a novel method to successfully detect the ADRs using feature matrix and feature selection. A feature matrix, which characterizes the medical events before patients take drugs or after patients take drugs, is created from THIN database.
arxiv +1 more source