Adverse Drug Reaction Discovery Using a Tumor-Biomarker Knowledge Graph
نویسندگان
چکیده
منابع مشابه
Statistical methods for knowledge discovery in adverse drug reaction surveillance Statistical methods for knowledge discovery in adverse drug reaction surveillance
Collections of individual case safety reports are the main resource for early discovery of unknown adverse reactions to drugs once they have been introduced to the general public. The data sets involved are complex and based on voluntary submission of reports, but contain pieces of very important information. The aim of this thesis is to propose computationally feasible statistical methods for ...
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Adverse drug reactions (ADRs) are a major public health concern, causing over 100,000 fatalities in the United States every year with an annual cost of $136 billion. Early detection and accurate prediction of ADRs is thus vital for drug development and patient safety. Multiple scientific disciplines, namely pharmacology, pharmacovigilance, and pharmacoinformatics, have been addressing the ADR p...
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S : scientific #bd14 | big data conference 44 Dr Chen Wang Senior Research Scientist CSIRO Computational Informatics Dr Chen Wang is a Senior Research Scientist at CSIRO Computational Informatics. He received his PhD from Nanjing University. His research interests are primarily in distributed, parallel and trustworthy systems. His current work focus on data analytics systems for drug adverse re...
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ژورنال
عنوان ژورنال: Frontiers in Genetics
سال: 2021
ISSN: 1664-8021
DOI: 10.3389/fgene.2020.625659