Machine learning and natural language processing methods to identify ischemic stroke, acuity and location from radiology reports

Accurate, automated extraction of clinical stroke information from unstructured text has several important applications. ICD-9/10 codes can misclassify ischemic stroke events and do not distinguish acuity or location. Expeditious, accurate data extraction could provide considerable improvement in id...

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Detalles Bibliográficos
Autores principales: Ong, Charlene Jennifer, Orfanoudaki, Agni, Zhang, Rebecca, Caprasse, Francois Pierre M., Hutch, Meghan, Ma, Liang, Fard, Darian, Balogun, Oluwafemi, Miller, Matthew I., Minnig, Margaret, Saglam, Hanife, Prescott, Brenton, Greer, David M., Smirnakis, Stelios, Bertsimas, Dimitris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304623/
https://www.ncbi.nlm.nih.gov/pubmed/32559211
http://dx.doi.org/10.1371/journal.pone.0234908

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7304623/
https://www.ncbi.nlm.nih.gov/pubmed/32559211
http://dx.doi.org/10.1371/journal.pone.0234908

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