Leveraging graph topology and semantic context for pharmacovigilance through twitter-streams
نویسندگان
چکیده
منابع مشابه
Leveraging Post-marketing Drug Safety Research through Semantic Technologies: The PharmacoVigilance Signal Detectors Ontology
Accurate and timely identification of post-marketing drug safety risks (the so-called “signals” in pharmacovigilance) is an important public health issue. While various computational methods have been proposed to analyze the diverse data sources employed for signal detection, still the challenge of effective drug monitoring and surveillance remains. On the other hand, there is an emerging belie...
متن کاملA Context-aware Architecture for Mental Model Sharing through Semantic Movement in Intelligent Agents
Recent studies in multi-agent systems are paying increasingly more attention to the paradigm of designing intelligent agents with human inspired concepts. One of the main cognitive concepts driving the core of many recent approaches in multi agent systems is shared mental models. In this paper, we propose an architecture for sharing mental models based on a new concept called semantic movement....
متن کاملLeveraging MEDLINE indexing for pharmacovigilance - Inherent limitations and mitigation strategies
BACKGROUND Traditional approaches to pharmacovigilance center on the signal detection from spontaneous reports, e.g., the U.S. Food and Drug Administration (FDA) adverse event reporting system (FAERS). In order to enrich the scientific evidence and enhance the detection of emerging adverse drug events that can lead to unintended harmful outcomes, pharmacovigilance activities need to evolve to e...
متن کاملLeveraging Stratification in Twitter Sampling
With Tweet volumes reaching 500 million a day, sampling is inevitable for any application using Twitter data. Realizing this, data providers such as Twitter, Gnip and Boardreader license sampled data streams priced in accordance with the sample size. Big Data applications working with sampled data would be interested in working with a large enough sample that is representative of the universal ...
متن کاملAnalysis of Twitter Data for Postmarketing Surveillance in Pharmacovigilance
Postmarketing surveillance (PMS) has the vital aim to monitor effects of drugs after release for use by the general population, but suffers from under-reporting and limited coverage. Automatic methods for detecting drug effect reports, especially for social media, could vastly increase the scope of PMS. Very few automatic PMS methods are currently available, in particular for the messy text typ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: BMC Bioinformatics
سال: 2016
ISSN: 1471-2105
DOI: 10.1186/s12859-016-1220-5