Natural Language Processing

Driving precision and scale through Natural Language Processing

Automated Indexing of Biomedical Content

Maintaining an up-to-date, high-quality biomedical evidence database is imperative to the pharma industry and the biomedical research community. However, manually indexing concepts derived from thousands of biomedical journal articles is challenging, time-consuming, and error-prone.

Our data solution help to mitigate manual process and deliver quality by leveraging a Natural Language Processing (NLP) - based indexing process. Powered by our proprietary Straive Data Platform (SDP), the automated solution:

  • Delivers an index of equivalent or comparable to a preliminary manual indexing quality
  • Offers highest possible precision and recall of relevant terms from a journal article
  • Reduces the processing time per record

Download Case study to learn how we enabled a global information analytics company to overcome the indexing challenges of biomedical content.

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