Automatically disambiguating medical acronyms with ontology-aware deep learning

Disambiguating abbreviations is important for automated clinical note processing; however, deploying machine learning for this task is restricted by lack of good training data. Here, the authors show novel data augmentation methods that use biomedical ontologies to improve abbreviation disambiguatio...

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Autores principales:	Marta Skreta, Aryan Arbabi, Jixuan Wang, Erik Drysdale, Jacob Kelly, Devin Singh, Michael Brudno
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2021
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/55b59136062549e789f34c5a3fb40092
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id	oai:doaj.org-article:55b59136062549e789f34c5a3fb40092
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spelling	oai:doaj.org-article:55b59136062549e789f34c5a3fb400922021-12-02T19:12:29ZAutomatically disambiguating medical acronyms with ontology-aware deep learning10.1038/s41467-021-25578-42041-1723https://doaj.org/article/55b59136062549e789f34c5a3fb400922021-09-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-25578-4https://doaj.org/toc/2041-1723Disambiguating abbreviations is important for automated clinical note processing; however, deploying machine learning for this task is restricted by lack of good training data. Here, the authors show novel data augmentation methods that use biomedical ontologies to improve abbreviation disambiguation in many datasets.Marta SkretaAryan ArbabiJixuan WangErik DrysdaleJacob KellyDevin SinghMichael BrudnoNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-10 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Marta Skreta Aryan Arbabi Jixuan Wang Erik Drysdale Jacob Kelly Devin Singh Michael Brudno Automatically disambiguating medical acronyms with ontology-aware deep learning
description	Disambiguating abbreviations is important for automated clinical note processing; however, deploying machine learning for this task is restricted by lack of good training data. Here, the authors show novel data augmentation methods that use biomedical ontologies to improve abbreviation disambiguation in many datasets.
format	article
author	Marta Skreta Aryan Arbabi Jixuan Wang Erik Drysdale Jacob Kelly Devin Singh Michael Brudno
author_facet	Marta Skreta Aryan Arbabi Jixuan Wang Erik Drysdale Jacob Kelly Devin Singh Michael Brudno
author_sort	Marta Skreta
title	Automatically disambiguating medical acronyms with ontology-aware deep learning
title_short	Automatically disambiguating medical acronyms with ontology-aware deep learning
title_full	Automatically disambiguating medical acronyms with ontology-aware deep learning
title_fullStr	Automatically disambiguating medical acronyms with ontology-aware deep learning
title_full_unstemmed	Automatically disambiguating medical acronyms with ontology-aware deep learning
title_sort	automatically disambiguating medical acronyms with ontology-aware deep learning
publisher	Nature Portfolio
publishDate	2021
url	https://doaj.org/article/55b59136062549e789f34c5a3fb40092
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Automatically disambiguating medical acronyms with ontology-aware deep learning

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