Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study.

Andrew Houston^1,2, Sophie Williams^3,4, William Ricketts⁵, Charles Gutteridge³, Chris Tackaberry⁶, John Conibear⁷

¹Barts Life Sciences, Barts Health NHS Trust, London, UK. andrew.houston4@nhs.net.

²Digital Environment Research Institute, Queen Mary University of London, London, UK. andrew.houston4@nhs.net.

³Barts Life Sciences, Barts Health NHS Trust, London, UK.

⁴Digital Environment Research Institute, Queen Mary University of London, London, UK.

⁵Respiratory Medicine, Barts Health NHS Trust, London, UK.

⁶Clinithink Ltd., London, UK.

⁷Barts Cancer Centre, Barts Health NHS Trust, London, UK.

PubMed PMC DOI PDF

Abstract

BACKGROUND: The digitisation of healthcare records has generated vast amounts of unstructured data, presenting opportunities for improvements in disease diagnosis when clinical coding falls short, such as in the recording of patient symptoms. This study presents an approach using natural language processing to extract clinical concepts from free-text which are used to automatically form diagnostic…

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