Validation of a Natural Language Processing Algorithm for the Extraction of the Sleep Parameters from the Polysomnography Reports

Background: There is a need to better understand the association between sleep and chronic diseases. In this study we developed a natural language processing (NLP) algorithm to mine polysomnography (PSG) free-text notes from electronic medical records (EMR) and evaluated the performance. Methods: Us...

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Detalles Bibliográficos
Autores principales: Rahman, Mahbubur, Nowakowski, Sara, Agrawal, Ritwick, Naik, Aanand, Sharafkhaneh, Amir, Razjouyan, Javad
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602175/
https://www.ncbi.nlm.nih.gov/pubmed/36292283
http://dx.doi.org/10.3390/healthcare10101837

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9602175/
https://www.ncbi.nlm.nih.gov/pubmed/36292283
http://dx.doi.org/10.3390/healthcare10101837

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