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Text Mining Software Webinar
Next Text Mining Event
  Webinar: Introduction to Text Mining
12 November 2014

 

 
Text Mining News

Advanced NLP for Electronic Health Records

Linguamatics Webinar

Presenters Simon Beaulah, Director, Healthcare Strategy
Tracy Gregory, Application Specialist

Dates/Times To be announced, please feel free to contact us for the recorded version
Duration 45 minutes including Q&A

Unstructured text in patient records remains one of the best options to gain detailed insight into the diagnosis and outcomes associated with clinical treatment. Previously, the challenges of systematically analysing thousands of different reports and textual fields have been a prohibitive barrier to this vital data. However, advances in text mining and Natural Language Processing have changed that, opening up opportunities for clinical research and operational analytics to improve disease understanding, comparative effectiveness and hospital efficiency.

This webinar will highlight some of the challenges in text mining patient data and how Linguamatics is enabling leading payer, provider and research organizations to make more effective use of their data.

In this webinar you will learn how to ...               

  • Mine patient data
  • Mine clinical trials
  • Mine scientific research and drug labels

Who should attend?

This webinar provides an introduction to using text mining and Linguamatics and for those working in the following areas:

Medical research into:
  • Comparative effectiveness
  • Outcomes analysis
  • Biomarker discovery
  • Predictive modelling

Pharma, Biotech and related industries interested in:

  • Real world data access
  • Comparative effectiveness
  • Pharmacovigilance
  • Clinical trials selection

Hospital operations into:

  • Healthcare analytics
  • Predictive modelling

Previous Webinars
If you are interested in other webinars that Linguamatics have presented, take a look at the archive of previous webinars. If you would like access to our recorded webinars please fill our our information request form.

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