All posts by Todor Primov

Linked Data Solutions in Healthcare

Linked Data Solutions for Healthcare breaks down the barriers of information silos and gives an all-round comprehensive view of patients’ and research data. They help organizations enrich unstructured patient data with all the terminology in order to identify entities such as generic and branded drugs, recommended and prescribed dosage, or adverse event reactions. Linked data also makes text mining easier as it eliminates ambiguity with the help of those vocabularies, referred to as ontologies in the semantic technology industry.

Empowering Your Medical Content with the New Healthcare Tagger on the Self-Service Semantic Suite (S4)

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Healthcare Tagger is the Self-Service Semantic Suite’s (S4) new tool for text analysis of various types of medical documents. It makes information extraction of biomedical knowledge quicker and more precise, and ultimately enhances your semantic analysis of medical records.

Highlights from “Mining Electronic Health Records for Insights” Webinar

On October 15, 2015 me, Todor Primov, a Healthcare expert with Ontotext, presented Mining Electronic Health Records for Insights: Beyond Ontology Based Text Mining. This webinar highlighted some of the challenges in text mining cl

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