Natural language processing and machine learning algorithm to identify brain MRI reports with acute ischemic stroke

BACKGROUND AND PURPOSE: This project assessed performance of natural language processing (NLP) and machine learning (ML) algorithms for classification of brain MRI radiology reports into acute ischemic stroke (AIS) and non-AIS phenotypes. MATERIALS AND METHODS: All brain MRI reports from a single ac...

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Detalles Bibliográficos
Autores principales: Kim, Chulho, Zhu, Vivienne, Obeid, Jihad, Lenert, Leslie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394972/
https://www.ncbi.nlm.nih.gov/pubmed/30818342
http://dx.doi.org/10.1371/journal.pone.0212778

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6394972/
https://www.ncbi.nlm.nih.gov/pubmed/30818342
http://dx.doi.org/10.1371/journal.pone.0212778

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