Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

Research article (BMJ Open, 2019) · cited 61× · AI/ML
Press Enter · cited answer in seconds

Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system

Summary

Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system is a scholarly article[1].

Key Facts

  • Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system's instance of is recorded as scholarly article[2].

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-natural-language-processing-to-extract-structured-epilepsy-data-from-unstructured-clinic-letters-development-and-v
MLA “Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-natural-language-processing-to-extract-structured-epilepsy-data-from-unstructured-clinic-letters-development-and-v.
BibTeX @misc{4ortxyz_using-natural-language-processing-to-extract-structured-epilepsy-data-from-unstructured-clinic-letters-development-and-v_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system}}, year = {2026}, url = {https://4ort.xyz/entity/using-natural-language-processing-to-extract-structured-epilepsy-data-from-unstructured-clinic-letters-development-and-v}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using natural language processing to extract structured epilepsy data from unstructured clinic letters: development and validation of the ExECT (extraction of epilepsy clinical text) system — https://4ort.xyz/entity/using-natural-language-processing-to-extract-structured-epilepsy-data-from-unstructured-clinic-letters-development-and-v (retrieved 2026-05-24)

Canonical URL: https://4ort.xyz/entity/using-natural-language-processing-to-extract-structured-epilepsy-data-from-unstructured-clinic-letters-development-and-v · Last refreshed: