Results 11 to 20 of about 907,352 (125)
Detect Adverse Drug Reactions for Drug Aspirin [PDF]
arXiv, 2014 Adverse drug reaction (ADR) is widely concerned for public health issue. In this study we propose an original approach to detect the ADRs using feature matrix and feature selection. The experiments are carried out on the drug Aspirin. Major side effects for the drug are detected and better performance is achieved compared to other computerized methods.
arxiv
Detecting adverse drug reactions for the drug Simvastatin [PDF]
arXiv, 2014 Adverse drug reactions (ADR) are widely concerning for public health issue. In this study we propose an original approach to detect ADRs using a feature matrix and feature selection. The experiments are carried out on the drug Simvastatin. Major side effects for the drug are detected and better performance is achieved compared to other computerized ...
arxiv
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern mining [PDF]
arXiv, 2016 Purpose: To develop a framework for identifying and incorporating candidate confounding interaction terms into a regularised cox regression analysis to refine adverse drug reaction signals obtained via longitudinal observational data. Methods: We considered six drug families that are commonly associated with myocardial infarction in observational ...
arxiv
Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding [PDF]
arXiv, 2017 Minimizing adverse reactions caused by drug-drug interactions has always been a momentous research topic in clinical pharmacology. Detecting all possible interactions through clinical studies before a drug is released to the market is a demanding task.
arxiv
Detect adverse drug reactions for the drug Pravastatin [PDF]
arXiv, 2013 Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug reactions. The main problem to deal with this method is how to automatically extract the medical events or side effects ...
arxiv
Feature selection in detection of adverse drug reactions from the Health Improvement Network (THIN) database [PDF]
arXiv, 2014 Adverse drug reaction (ADR) is widely concerned for public health issue. ADRs are one of most common causes to withdraw some drugs from market. Prescription event monitoring (PEM) is an important approach to detect the adverse drug reactions. The main problem to deal with this method is how to automatically extract the medical events or side effects ...
arxiv
Total fraction of drug released from diffusion-controlled delivery systems with binding reactions [PDF]
arXivIn diffusion-controlled drug delivery, it is possible for drug molecules to bind to the carrier material and never be released. A common way to incorporate this phenomenon into the governing mechanistic model is to include an irreversible first-order reaction term, where drug molecules become permanently immobilised once bound.
arxiv
Generation of Drug-Induced Cardiac Reactions towards Virtual Clinical Trials [PDF]
arXivClinical trials are pivotal in cardiac drug development, yet they often fail due to inadequate efficacy and unexpected safety issues, leading to significant financial losses. Using in-silico trials to replace a part of physical clinical trials, e.g., leveraging advanced generative models to generate drug-influenced electrocardiograms (ECGs), seems an ...
arxiv
Detect adverse drug reactions for drug Atorvastatin [PDF]
arXiv, 2013 Adverse drug reactions (ADRs) are big concern for public health. ADRs are one of most common causes to withdraw some drugs from markets. Now two major methods for detecting ADRs are spontaneous reporting system (SRS), and prescription event monitoring (PEM).
arxiv