Home ›
Entities
› academia
› Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems
Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems
Research article (JAMIA Open, 2022) · cited 29× · AI/ML
Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems
Summary
Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems is a scholarly article[1].
Key Facts
Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
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.
APA4ort.xyz Knowledge Graph. (2026). Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/development-and-assessment-of-a-natural-language-processing-model-to-identify-residential-instability-in-electronic-heal
MLA“Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/development-and-assessment-of-a-natural-language-processing-model-to-identify-residential-instability-in-electronic-heal.
BibTeX@misc{4ortxyz_development-and-assessment-of-a-natural-language-processing-model-to-identify-residential-instability-in-electronic-heal_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems}}, year = {2026}, url = {https://4ort.xyz/entity/development-and-assessment-of-a-natural-language-processing-model-to-identify-residential-instability-in-electronic-heal}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Development and assessment of a natural language processing model to identify residential instability in electronic health records’ unstructured data: a comparison of 3 integrated healthcare delivery systems — https://4ort.xyz/entity/development-and-assessment-of-a-natural-language-processing-model-to-identify-residential-instability-in-electronic-heal (retrieved 2026-05-24)
