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

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

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 lan...

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Bibliographic Details
Main Authors: Andrew Houston, Sophie Williams, William Ricketts, Charles Gutteridge, Chris Tackaberry, John Conibear
Format: Article
Language:English
Published: BMC 2024-12-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Electronic health records
Natural language processing
Cancer
Diagnostics
SNOMED-CT
Machine learning
Online Access:https://doi.org/10.1186/s12911-024-02790-y
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https://doi.org/10.1186/s12911-024-02790-y

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