Deciphering clinical abbreviations with a privacy protecting machine learning system

Physicians write clinical notes with abbreviations and shorthand that are difficult to decipher. Abbreviations can be clinical jargon (writing “HIT” for “heparin induced thrombocytopenia”), ambiguous terms that require expertise to disambiguate (using “MS” for “multiple sclerosis” or “mental status”...

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Detalles Bibliográficos
Autores principales: Rajkomar, Alvin, Loreaux, Eric, Liu, Yuchen, Kemp, Jonas, Li, Benny, Chen, Ming-Jun, Zhang, Yi, Mohiuddin, Afroz, Gottweis, Juraj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718734/
https://www.ncbi.nlm.nih.gov/pubmed/36460656
http://dx.doi.org/10.1038/s41467-022-35007-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9718734/
https://www.ncbi.nlm.nih.gov/pubmed/36460656
http://dx.doi.org/10.1038/s41467-022-35007-9

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