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Automatic characterization of user errors in spirometry

Research article (2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017) · cited 10× · AI/ML
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Automatic characterization of user errors in spirometry

Summary

Automatic characterization of user errors in spirometry is a scholarly article[1].

Key Facts

  • Automatic characterization of user errors in spirometry's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Automatic characterization of user errors in spirometry. Retrieved May 24, 2026, from https://4ort.xyz/entity/automatic-characterization-of-user-errors-in-spirometry
MLA “Automatic characterization of user errors in spirometry.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/automatic-characterization-of-user-errors-in-spirometry.
BibTeX @misc{4ortxyz_automatic-characterization-of-user-errors-in-spirometry_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Automatic characterization of user errors in spirometry}}, year = {2026}, url = {https://4ort.xyz/entity/automatic-characterization-of-user-errors-in-spirometry}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Automatic characterization of user errors in spirometry — https://4ort.xyz/entity/automatic-characterization-of-user-errors-in-spirometry (retrieved 2026-05-24)

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