Development and application of a high throughput natural language processing pipeline to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies

Majid Afshar; Dmitriy Dligach; Brihat Sharma; Xiaoyuan Cai; Jason Boyda; Steven Birch; Daniel Valdez; Suzan Zelisko; Cara Joyce; François Modave; Ron Price

Development and application of a high throughput natural language processing pipeline to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies

Majid Afshar, Dmitriy Dligach, Brihat Sharma, Xiaoyuan Cai, Jason Boyda, Steven Birch, Daniel Valdez, Suzan Zelisko, Cara Joyce, François Modave, Ron Price

Department of Computer Science

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	Journal of the American Medical Informatics Association
State	Published - 2019

Cite this

Afshar, M., Dligach, D., Sharma, B., Cai, X., Boyda, J., Birch, S., Valdez, D., Zelisko, S., Joyce, C., Modave, F., & Price, R. (2019). Development and application of a high throughput natural language processing pipeline to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. Journal of the American Medical Informatics Association.

Development and application of a high throughput natural language processing pipeline to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. / Afshar, Majid; Dligach, Dmitriy; Sharma, Brihat et al.
In: Journal of the American Medical Informatics Association, 2019.

Research output: Contribution to journal › Article › peer-review

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AU - Afshar, Majid

AU - Dligach, Dmitriy

AU - Sharma, Brihat

AU - Cai, Xiaoyuan

AU - Boyda, Jason

AU - Birch, Steven

AU - Valdez, Daniel

AU - Zelisko, Suzan

AU - Joyce, Cara

AU - Modave, François

AU - Price, Ron

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JO - Journal of the American Medical Informatics Association

JF - Journal of the American Medical Informatics Association

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