Using Natural Language Processing of Free-Text Radiology Reports to Identify Type 1 Modic Endplate Changes

Electronic medical record (EMR) systems provide easy access to radiology reports and offer great potential to support quality improvement efforts and clinical research. Harnessing the full potential of the EMR requires scalable approaches such as natural language processing (NLP) to convert text int...

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Detalhes bibliográficos
Publicado no:J Digit Imaging
Main Authors: Huhdanpaa, Hannu T., Tan, W. Katherine, Rundell, Sean D., Suri, Pradeep, Chokshi, Falgun H., Comstock, Bryan A., Heagerty, Patrick J., James, Kathryn T., Avins, Andrew L., Nedeljkovic, Srdjan S., Nerenz, David R., Kallmes, David F., Luetmer, Patrick H., Sherman, Karen J., Organ, Nancy L., Griffith, Brent, Langlotz, Curtis P., Carrell, David, Hassanpour, Saeed, Jarvik, Jeffrey G.
Formato: Artigo
Idioma:Inglês
Publicado em: Springer International Publishing 2017
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC5788819/
https://ncbi.nlm.nih.gov/pubmed/28808792
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-017-0013-3
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