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

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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Bibliographic Details
Main Authors: Ong, Charlene Jennifer, Orfanoudaki, Agni, Zhang, Rebecca, Caprasse, Francois Pierre M., Bertsimas, Dimitris J
Other Authors: Massachusetts Institute of Technology. Operations Research Center
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2021
Online Access:https://hdl.handle.net/1721.1/130098

Internet

https://hdl.handle.net/1721.1/130098

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