Across the healthcare industry, researchers and clinicians need to base decisions on the best possible view of data. Natural language processing-based text mining enables researchers to gather important insights from vast amounts of published information. Use cases range from drug discovery, clinical trial development, drug safety monitoring, through to real world insights and competitive intelligence.
To capture the landscape of information needed for a particular project, mining abstracts and full-text papers both bring benefits. Scientific abstracts tend to be short concise summaries, but miss much of the richness, detail, and granularity available from the full-text papers, particularly in tables.
Join CCC and Linguamatics on 3 June 2021 to discuss how NLP can assist researchers to get better value from both abstracts and full-text literature, with example use cases in research and rare diseases.