Contextualisation of Biomedical Knowledge through Large-scale Processing of Literature, Clinical Narratives and Social Media

Nenadic, Goran
Lecture Notes in Computer Science; 2015

Medicine is often pictured as one of the main examples of “big data science” with a number of challenges and successful stories where data have saved lives [1]. In addition to structured databases that store expert-curated information, unstructured and semi-structured data is a huge and often most up-to-date resource of medical knowledge. These include scientific literature, clinical narratives and social media, which typically capture findings, knowledge and experience of the three main “stakeholder” communities: researchers, clinicians and patients/carers. The ability to harness such data is essential for the integration of medical information to support clinical decision making and medical research.