SAS Visual Text Analytics: Exploring Literature for Drug Safety Signals

Explore the capabilities of SAS Visual Text Analytics by searching abstracts from biomedical and life sciences research literature for adverse event signals. In this workshop you will build a text analytics pipeline to extract key pieces of information from the literature that identify a safety risk in some previously marketed drugs. We use literature abstracts extracted from the national library of medicine’s pubmed database to explore adverse event signals around cancer and cancer causing chemicals in the generic drug ranitidine. We create custom concept rules in SAS Visual Text Analytics to highlight some of these safety signals, and we also see how to visualize these results in SAS Visual Analytics. This workshop is designed to be accessible to SAS users with no background in pharmacovigilance, the topic area was chosen to illustrate the use of text analytics on real-world data in the context of a real historical safety issue.
Additional resources
◉ SAS Visual Text Analytics in SAS Viya - support.sas.co...
◉ SAS Global Certification Program - www.sas.com/ce...
◉ SAS Learning Subscription - www.sas.com/en...
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[@normbethune2995]

So the NLP groups are often not useful in an analysis? And the predefined concepts typically serve to remove “background noises”?

[@Smackerz1988]

Is the ranitidine pubmed sas dataset publicly available?

[@SASUsers]

Checking for you!

[@Smackerz1988]

@@SASUsers Thank you!!

[@SASUsers]

The presenter in this video is using articles about ranitidine which he downloaded from the PubMed database; you will find on this website 2.sas.com/6053Y43yB. To understand more about the articles the presenter used for analysis, please go back to approximately time stamp 10:30-10:46, where he specifically says during the part of the demo where he's loading data: "We have to choose a data set, and we're going to use those articles I downloaded from PubMed. I've already kind of aggregated them into a SAS data set for you but the PubMed articles, the abstracts are publicly available. It's easy to download. You're welcome to use them as you see fit as long as you give PubMed credit."
This presentation was not designed for the final data to be shared, since the SAS dataset used for the presentation was just an aggregation of all the individual articles that were downloaded from PubMed. If you want to explore SAS Visual Text Analytics and you have access to the software, you should be able to follow the steps in the Visual Text Analytics User's Guide: 2.sas.com/6055Y43yD and work with the NEWS data that is provided in the product.
We hope this helps!