Home ›
Entities
› academia
› De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository
Research article (Journal of the American Medical Informatics Association, 2023) · cited 18× · AI/ML
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository
Summary
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository is a scholarly article[1].
Key Facts
De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the All of Us data repository'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). De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository. Retrieved May 24, 2026, from https://4ort.xyz/entity/de-black-boxing-health-ai-demonstrating-reproducible-machine-learning-computable-phenotypes-using-the-n3c-recover-long-c
MLA“De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/de-black-boxing-health-ai-demonstrating-reproducible-machine-learning-computable-phenotypes-using-the-n3c-recover-long-c.
BibTeX@misc{4ortxyz_de-black-boxing-health-ai-demonstrating-reproducible-machine-learning-computable-phenotypes-using-the-n3c-recover-long-c_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository}}, year = {2026}, url = {https://4ort.xyz/entity/de-black-boxing-health-ai-demonstrating-reproducible-machine-learning-computable-phenotypes-using-the-n3c-recover-long-c}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): De-black-boxing health AI: demonstrating reproducible machine learning computable phenotypes using the N3C-RECOVER Long COVID model in the <i>All of Us</i> data repository — https://4ort.xyz/entity/de-black-boxing-health-ai-demonstrating-reproducible-machine-learning-computable-phenotypes-using-the-n3c-recover-long-c (retrieved 2026-05-24)