Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

Codifying unstructured data: A Natural Language Processing approach to extract rich data from clinical letters

ABSTRACT Objectives Electronic healthcare records (EHR) are the main data sources that facilitate epidemiology research. Routinely collected data such as primary and secondary care are now easily linked to produce novel and high impact research. There are, however, rich data locked in the free te...

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Bibliographic Details
Main Authors: Arron Lacey, Jane Lyons, Ashley Akbari, Samantha L Turner, Angharad M Walters, Beata Fonferko-Shadrach, Owen Pickrell, Mark I Rees, Ronan A Lyons, David V Ford, Rod M Middleton
Format: Article
Language:English
Published: Swansea University 2017-04-01
Series:International Journal of Population Data Science
Online Access:https://ijpds.org/article/view/354

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https://ijpds.org/article/view/354

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