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Pharma Compliance Info New system for detecting adverse effects of medications using social media Pharmacovigilance

New system for detecting adverse effects of medications using social media

Researchers at Carlos III Universidad de Madrid have developed a system for detecting adverse effects of pharmaceutical drugs by tracking information generated by patients on specialized blogs or social networks such as Twitter in real time.
The prototype, created by these scientists within the framework of the European research Project TrendMiner, makes it possible to analyze the comments on social media by using natural language processing techniques (NLP). Thanks to these techniques, patients’ colloquial descriptions are “translated” into manageable data in comparatives studies which allow us to identify patterns and trends.”
This data may also be combined with data from other sources, such as patients’ electronic medical records, which contain very useful information about diagnosis, treatments, etc. Most of this information is also expressed in natural language, which means that it must be codified and turned into structured information in order to be able to work with it,” explains another of the researchers, Professor Paloma Martínez, of the Advanced Databases Laboratory at UC3M.
To read the article by the MedicalxPress

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