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

Research article (Journal of the American Medical Informatics Association, 2019) · cited 36× · AI/ML
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Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies

Summary

Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies is a scholarly article[1].

Key Facts

  • Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-application-of-a-high-throughput-natural-language-processing-architecture-to-convert-all-clinical-docume
MLA “Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-application-of-a-high-throughput-natural-language-processing-architecture-to-convert-all-clinical-docume.
BibTeX @misc{4ortxyz_development-and-application-of-a-high-throughput-natural-language-processing-architecture-to-convert-all-clinical-docume_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and application of a high throughput natural language processing architecture to convert all clinical documents in a clinical data warehouse into standardized medical vocabularies}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-application-of-a-high-throughput-natural-language-processing-architecture-to-convert-all-clinical-docume}, note = {Accessed: 2026-05-24}}
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