Results 31 to 40 of about 519,396 (228)

Adverse events among Ontario home care clients associated with emergency room visit or hospitalization: a retrospective cohort study [PDF]

open access: yes, 2013
Background: Home care (HC) is a critical component of the ongoing restructuring of healthcare in Canada. It impacts three dimensions of healthcare delivery: primary healthcare, chronic disease management, and aging at home strategies.
Baker, G. Ross   +19 more
core   +1 more source

Wine Quality Assessment under the Eindhoven Classification Method [PDF]

open access: yes, 2019
The identification, classification and recording of events leading to deterioration of wine quality is essential for developing appropriate strategies to avoid them.
Aranha, Inês   +8 more
core   +2 more sources

Distributed Ledger Infrastructure to Verify Adverse Event Reporting (DeLIVER): Proposal for a Proof-of-Concept Study

open access: yesJMIR Research Protocols, 2021
BackgroundAdverse drug event reporting is critical for ensuring patient safety; however, numbers of reports have been declining. There is a need for a more user-friendly reporting system and for a means of verifying reports that have been filed.
Milne-Ives, Madison   +4 more
doaj   +1 more source

Cardiac adverse events associated with quetiapine: Disproportionality analysis of FDA adverse event reporting system

open access: yesCNS Neuroscience & Therapeutics, 2023
AbstractObjectiveQuetiapine, an atypical second‐generation antipsychotic drug, is approved for treatment of schizophrenia, bipolar disorder, and depression. Due to the limitations of clinical trials, the association between quetiapine and rare cardiac adverse events (AEs) is still unclear.
Yamin Shu   +3 more
openaire   +2 more sources

Automatically Recognizing Medication and Adverse Event Information From Food and Drug Administration’s Adverse Event Reporting System Narratives

open access: yesJMIR Medical Informatics, 2014
BackgroundThe Food and Drug Administration’s (FDA) Adverse Event Reporting System (FAERS) is a repository of spontaneously-reported adverse drug events (ADEs) for FDA-approved prescription drugs.
Polepalli Ramesh, Balaji   +5 more
doaj   +1 more source

Prototype of running clinical trials in an untrustworthy environment using blockchain. [PDF]

open access: yes, 2019
Monitoring and ensuring the integrity of data within the clinical trial process is currently not always feasible with the current research system.
Bhattacharya, Sanchita   +2 more
core   +3 more sources

Adverse event reporting and patient safety at a University Hospital: Mapping, correlating and associating events for a data-based patient risk management [PDF]

open access: yes, 2016
BACKGROUND: Reporting adverse events (AE) with a bearing on patient safety is fundamentally important to the identification and mitigation of potential clinical risks.
Baldo, Vincenzo   +7 more
core   +1 more source

Evidence and Extrapolation: Mechanisms for Regulating Off-Label Uses of Drugs and Devices [PDF]

open access: yes, 2014
A recurring, foundational issue for evidence-based regulation is deciding whether to extend governmental approval from an existing use with sufficient current evidence of safety and efficacy to a novel use for which such evidence is currently lacking ...
Abbott, Ryan, Ayres, Ian
core   +3 more sources

Adverse Event Signals Associated with Beta-Lactamase Inhibitors: Disproportionality Analysis of USFDA Adverse Event Reporting System

open access: yesJournal of Xenobiotics
Background: Beta-lactamase inhibitors (BLIs) are widely used with beta-lactam antibiotics to combat resistant infections, yet their safety profiles, especially for newer agents, remain underexplored.
Kannan Sridharan, Gowri Sivaramakrishnan
doaj   +1 more source

Bayesian model selection in logistic regression for the detection of adverse drug reactions [PDF]

open access: yes, 2015
Motivation: Spontaneous adverse event reports have a high potential for detecting adverse drug reactions. However, due to their dimension, exploring such databases requires statistical methods.
Marbac, Matthieu   +2 more
core   +2 more sources

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