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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Publicado en:	Journal of Digital Imaging Vol. 31; no. 1; pp. 84 - 91
Autores principales:	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:	equations & formulas research tables/charts Journal Article
Publicado:	Springer Nature Feb2018
Acceso en línea:	Ver este registro en EBSCOhost