Comparing Data-mining Algorithms Developed for Longitudinal Observational Databases [PDF]
Longitudinal observational databases have become a recent interest in the post marketing drug surveillance community due to their ability of presenting a new perspective for detecting negative side effects. Algorithms mining longitudinal observation databases are not restricted by many of the limitations associated with the more conventional methods ...
arxiv
Successful use of ketamine in reversing the paradoxical reactions to midazolam after failing flumazenil [PDF]
Midazolam is generally effective and safe to be widely used in the management of seizures, procedural sedation, and anxiolytic. However, paradoxical reactions, though rare, present clinical challenges. Flumazenil is the preferred option for reversing the
Abdullah Nasser Aldosari, Sinan Alnashi
doaj +1 more source
2024 KSoLA consensus on secondary dyslipidemia [PDF]
Elevated blood cholesterol and triglyceride levels induced by secondary causes are frequently observed. The identification and appropriate handling of these causes are essential for secondary dyslipidemia treatment.
Hoyoun Won+6 more
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INCIDENCE AND MANAGEMENT OF TREATMENT-RELATED SIDE EFFECTS FOR PATIENTS RECEIVING PLATINUM THERAPY IN AN OUTPATIENT ONCOLOGY CLINIC [PDF]
  Objective: Platinum agents (PAs) are the most commonly used chemotherapeutic agents, aiming to induce tumor cell death by cytotoxicity. This leads to have high potential for toxicity and adverse effects.
P, Indhumathi, Priya E, Shanmuga
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Adverse drug reactions following treatment of latent tuberculosis infection: a linked national tuberculosis surveillance with claims database [PDF]
Background/Aims Few real-world studies explored factors associated with latent tuberculosis infection (LTBI) treatment-related adverse drug reactions (ADRs).
Yu-Seon Jung+4 more
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Concept Extraction to Identify Adverse Drug Reactions in Medical Forums: A Comparison of Algorithms [PDF]
Social media is becoming an increasingly important source of information to complement traditional pharmacovigilance methods. In order to identify signals of potential adverse drug reactions, it is necessary to first identify medical concepts in the social media text.
arxiv
Drug related problems causing admissions to a medical unit in Hong Kong. [PDF]
Wen Er Ya Jane.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical references (leaves 130-134).Table of contents --- p.iiList of tables --- p.ivList of figures --- p.viAbstract --- p.viiGlossary of abbreviations --- p ...
core
HODDI: A Dataset of High-Order Drug-Drug Interactions for Computational Pharmacovigilance [PDF]
Drug-side effect research is vital for understanding adverse reactions arising in complex multi-drug therapies. However, the scarcity of higher-order datasets that capture the combinatorial effects of multiple drugs severely limits progress in this field. Existing resources such as TWOSIDES primarily focus on pairwise interactions.
arxiv
Research on Adverse Drug Reaction Prediction Model Combining Knowledge Graph Embedding and Deep Learning [PDF]
In clinical treatment, identifying potential adverse reactions of drugs can help assist doctors in making medication decisions. In response to the problems in previous studies that features are high-dimensional and sparse, independent prediction models need to be constructed for each adverse reaction of drugs, and the prediction accuracy is low, this ...
arxiv
Introduction: The combination of Inhibitors of protease boceprevir (BOC) or telaprevir (TLV) concomitantly with peginterferon (PEG) and ribavirin (RBV) constitute the triple therapy (TT) for Hepatitis C treatment. Objective: To describe the experience of
Aline Bianca Borba Mattana+4 more
doaj