De-identifying Spanish medical texts-named entity recognition applied to radiology reports


Por: I. PEREZ-DIEZ, R. PEREZ-MORAGA, A. LOPEZ-CERDAN, J. SALINAS-SERRANO and M. DE LA IGLESIA-VAYA

Publicada: 29 mar 2021
Resumen:
Background Medical texts such as radiology reports or electronic health records are a powerful source of data for researchers. Anonymization methods must be developed to de-identify documents containing personal information from both patients and medical staff. Although currently there are several anonymization strategies for the English language, they are also language-dependent. Here, we introduce a named entity recognition strategy for Spanish medical texts, translatable to other languages. Results We tested 4 neural networks on our radiology reports dataset, achieving a recall of 97.18% of the identifying entities. Alongside, we developed a randomization algorithm to substitute the detected entities with new ones from the same category, making it virtually impossible to differentiate real data from synthetic data. The three best architectures were tested with the MEDDOCAN challenge dataset of electronic health records as an external test, achieving a recall of 69.18%. Conclusions The strategy proposed, combining named entity recognition tasks with randomization of entities, is suitable for Spanish radiology reports. It does not require a big training corpus, thus it could be easily extended to other languages and medical texts, such as electronic health records.

Filiaciones:
:
 Fundacio Foment Invest Sanitaria & Biomed FISABIO, FISABIO CIPF Joint Res Unit Biomed Imaging, Ave Catalunya 21, Valencia 46020, Spain

 Ctr Invest Principe Felipe CIPF, Bioinformat & Biostat Unit, Carrer Eduardo Primo Yufera 3, Valencia 46012, Spain

:
 Fundacio Foment Invest Sanitaria & Biomed FISABIO, FISABIO CIPF Joint Res Unit Biomed Imaging, Ave Catalunya 21, Valencia 46020, Spain

 CEU Univ, ESI Int Chair CEU UCH, Dept Matemat Fis & Ciencias Tecnol, Univ Cardenal Herrera CEU, Calle San Bartolome 55, Alfafara Del Patriarca, Spain

:
 Fundacio Foment Invest Sanitaria & Biomed FISABIO, FISABIO CIPF Joint Res Unit Biomed Imaging, Ave Catalunya 21, Valencia 46020, Spain

 Ctr Invest Principe Felipe CIPF, Bioinformat & Biostat Unit, Carrer Eduardo Primo Yufera 3, Valencia 46012, Spain

J. SALINAS-SERRANO:
 Hosp San Juan de Alicante, Hlth Informat Dept, Sant Joan dAlacant 03550, Spain

:
 Fundacio Foment Invest Sanitaria & Biomed FISABIO, FISABIO CIPF Joint Res Unit Biomed Imaging, Ave Catalunya 21, Valencia 46020, Spain

 Reg Minist Universal Hlth & Publ Hlth Valencia, Carrer Misser Masco 31, Valencia 46010, Spain

 ISCIII, CIBERSAM, Ave Blasco Ibanez 15, Valencia 46010, Spain
ISSN: 20411480





Journal of Biomedical Semantics
Editorial
BMC, CAMPUS, 4 CRINAN ST, LONDON N1 9XW, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 12 Número: 1
Páginas: 6-6
WOS Id: 000634812800001
ID de PubMed: 33781334
imagen Gold, Green Published

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