spontaneous reporting systemBackground A series of signal detection methods have been developed to detect adverse drug reaction (ADR) signals in spontaneous reporting system. However, different signal detection methods yield quite different signal detection results, and we do not know which method has ...
The aim of this study was to evaluate the frequency of ADR related admissions and its dependency on reporting and method of detection, urgency of admissions and included medical departments reflecting department/hospital type within one study. Methods The study team of internal medicine specialists ...
method of adverse drug reaction,the research status was realized and the shortcomings of the methods were found out.Signal detection methods should be combined with signal validation studies to make up their deficiencies,and to get the exact causal relationship between adverse drug reactions and drugs...
Tools to accurately predict and detect adverse drug reactions (ADR) in elderly patients have not been developed. We aimed to identify and evaluate reports on tools that predict and detect ADR in elderly patients (≥ 60 years). In this review, we followed the Preferred Reporting Items for Sy...
Traditionally, disproportionality analysis (DPA) methods are employed for signal detection in pharmacovigilance, but these methods utilize only a
However, current quantitative methods are not applicable to EHR data. We propose a novel quantitative postmarketing surveillance algorithm, the Comparison of Laboratory Extreme Abnormality Ratio (CLEAR), for detecting adverse drug reaction (ADR) signals from EHR data. The methodology involves calculating...
Methods Ethics statement The study and data acquisition was performed according to the Helsinki Declaration and was approved by the local ethics committee (Ethics Commission for the Province of Salzburg, committee approval no. 415-E/1262/2–2010). Written informed consent was obtained from every par...
Background The detection of signals of adverse drug events (ADEs) has increased because of the use of data mining algorithms in spontaneous reporting systems (SRSs). However, different data mining algorithms have different traits and conditions for appli
Methods: In this paper, we propose multihop self-attention mechanism (MSAM) model that aims to learn the multi-aspect semantic information for the ADR detection task. first, the contextual information of the sentence is captured by using the bidirectional long short-term memory (Bi-LSTM) model...
and allow for the identification of non-binary chromosomal sex via investigation of the number of sex chromosomes detected in an individual’s karyotype. Deploying genomic data for sex identification can surpass limitations in the sex estimation methods that rely on osteological features, as those can...