Please enter your details to get this resource.

Email before download

Extracting actionable information from patient forums [Use Case]

Extracting Actionable Information From Patient Forums

Real-world evidence reported by patients themselves is an under-utilised resource for pharmaceutical companies striving to remain competitive and maintain awareness of the effects of their drugs.

Health forums, such as PatientsLikeMe, provide a wealth of valuable information, but many current computational approaches struggle to deal with the inherent ambiguity and informal language used within them.

SciBite uses semantic analytics to transform the free text within patient forums into unambiguous, machine-readable data. This enables pharmaceutical companies to unlock the value of patient-reported data and make faster, more informed decisions.

To learn more, download the full use case.

Related articles

  1. A hacker’s guide to understanding bio-ontology jargon

    Perfect for those new to bio-ontologies or who work with ontologists - a whole new vocabulary deciphered!

  2. Are ontologies relevant in a machine learning-centric world?

    SciBite CSO and Founder Lee Harland shares his views on why ontologies are relevant in a machine learning-centric world and are essential to help "clean up" scientific data in the Life Sciences industry.


How could the SciBite semantic platform help you?

Get in touch with us to find out how we can transform your data

Contact us