Cargando…
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...
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: | |
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 |
Ejemplares similares
-
Dexmedetomidine and Other Analgosedatives Alter Pupil Characteristics in Critically Ill Patients
por: Chan, Wang Pong, et al.
Publicado: (2022) -
Quantitative pupillometry and radiographic markers of intracranial midline shift: A pilot study
por: Kim, Ivy So Yeon, et al.
Publicado: (2022) -
Machine learning provides evidence that stroke risk is not linear: The non-linear Framingham stroke risk score
por: Orfanoudaki, Agni, et al.
Publicado: (2020) -
Personalized prescription of ACEI/ARBs for hypertensive COVID-19 patients
por: Bertsimas, Dimitris, et al.
Publicado: (2021) -
Dynamic trajectories of life-threatening mass effect in patients with large middle cerebral artery stroke
por: Ong, Charlene, et al.
Publicado: (2023)