Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018
Summary
Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018 is a scholarly article[1].
Key Facts
Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018's instance of is recorded as scholarly article[2].
References
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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). Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018. Retrieved May 24, 2026, from https://4ort.xyz/entity/identifying-depression-in-the-united-states-veterans-using-deep-learning-algorithms-nhanes-20052018
MLA“Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identifying-depression-in-the-united-states-veterans-using-deep-learning-algorithms-nhanes-20052018.
BibTeX@misc{4ortxyz_identifying-depression-in-the-united-states-veterans-using-deep-learning-algorithms-nhanes-20052018_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018}}, year = {2026}, url = {https://4ort.xyz/entity/identifying-depression-in-the-united-states-veterans-using-deep-learning-algorithms-nhanes-20052018}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identifying depression in the United States veterans using deep learning algorithms, NHANES 2005–2018 — https://4ort.xyz/entity/identifying-depression-in-the-united-states-veterans-using-deep-learning-algorithms-nhanes-20052018 (retrieved 2026-05-24)
