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Using data mining techniques to characterize participation in observational studies

Research article (Journal of Evaluation in Clinical Practice, 2016) · cited 44× · AI/ML
academia openalex:W2268812551
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Using data mining techniques to characterize participation in observational studies

Summary

Using data mining techniques to characterize participation in observational studies is a scholarly article[1].

Key Facts

  • Using data mining techniques to characterize participation in observational studies's instance of is recorded as scholarly article[2].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Using data mining techniques to characterize participation in observational studies. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-data-mining-techniques-to-characterize-participation-in-observational-studies
MLA “Using data mining techniques to characterize participation in observational studies.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-data-mining-techniques-to-characterize-participation-in-observational-studies.
BibTeX @misc{4ortxyz_using-data-mining-techniques-to-characterize-participation-in-observational-studies_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using data mining techniques to characterize participation in observational studies}}, year = {2026}, url = {https://4ort.xyz/entity/using-data-mining-techniques-to-characterize-participation-in-observational-studies}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using data mining techniques to characterize participation in observational studies — https://4ort.xyz/entity/using-data-mining-techniques-to-characterize-participation-in-observational-studies (retrieved 2026-05-24)

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