A support for understanding medical notes: Correcting spelling errors in Italian clinical records
Contributo in Atti di convegno
Data di Pubblicazione:
2021
Abstract:
In a context of digitalization and modernization of healthcare, automatic analysis of clinical data plays a leading role in improving the quality of care. Since much of the information lies in an unstructured form within clinical notes, it is necessary to make use of modern Natural Language Processing techniques to extract and build structured knowledge from the data. However, clinical texts pose unique challenges due to the extensive usage of i) acronyms, ii) non-standard medical jargons and iii) typos over technical terms. In this paper, we present a prototype spell-checker specifically designed for medical texts written in Italian.
Tipologia CRIS:
04A-Conference paper in volume
Keywords:
Clinical notes; Natural language processing; Spelling correction
Elenco autori:
Ferrod R.; Brunetti E.; Di Caro L.; Di Francescomarino C.; Dragoni M.; Ghidini C.; Marinello R.; Sulis E.
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Link al Full Text:
Titolo del libro:
CEUR Workshop Proceedings
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