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Off-label drug use is quite common in clinical practice and inevitable to some extent. Such uses might deliver effective treatment and suggest clinical innovation sometimes, however, they have the unknown risk to cause serious outcomes due to lacking scientific support. As gaining information about off-label drug use could present a clue to the stakeholders such as healthcare professionals and medication...
Drug repositioning represents the application of known drugs for new indications and plays an important role in healthcare research and industry. With its increasing value in drug development, multiple approaches have been applied in its exercise, basically classified as drug-based and diseasebased approaches. Our study adopted a disease-based approach and utilized Adverse Drug Reactions (ADRs) as...
There is an increasing attention of Online Health Communities (OHCs) where health consumers exchange informational and emotional support from their peers. However, the information overload issue makes it difficult for e-patients to identify relevant threads for their needs. An effective thread recommendation approach is highly desirable for OHCs to improve user experience. In this work, we propose...
Drug-drug interaction (DDI) detection is an important issue of pharmacovigilance. Currently, approaches proposed to detection DDIs are mainly focused on data sources such as spontaneous reporting systems, electronic health records, chemical/pharmacological databases, and biomedical literatures. However, those data sources are limited either by low reporting ratio, access issue, or long publication...
Millions of patients are affected by adverse drug reactions (ADRs) every year. It represents a substantial burden on healthcare resources. Pharmacovigilance using text and data analytics has drawn substantial attention in the recent years. These techniques are mainly extracting the associations between drugs and ADRs using data sources such as spontaneous reporting systems, electronic health records,...
Drug-drug interactions (DDIs) are a serious drug safety problem for health consumers and how to detect such interactions effectively and efficiently has been of great medical significance. Currently, methods proposed to detect DDIs are mainly based on data sources such as clinical trial data, spontaneous reporting systems, electronic medical records, and chemical/pharmacological databases. However,...
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