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Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure

Research article (Studies in health technology and informatics, 2019) · cited 17× · AI/ML
academia openalex:W2982611956
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Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure

Summary

Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure is a scholarly article[1].

Key Facts

  • Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure'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). Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-ensemble-machine-learning-methods-for-predicting-risk-of-readmission-for-heart-failure
MLA “Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-ensemble-machine-learning-methods-for-predicting-risk-of-readmission-for-heart-failure.
BibTeX @misc{4ortxyz_using-ensemble-machine-learning-methods-for-predicting-risk-of-readmission-for-heart-failure_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure}}, year = {2026}, url = {https://4ort.xyz/entity/using-ensemble-machine-learning-methods-for-predicting-risk-of-readmission-for-heart-failure}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using Ensemble Machine Learning Methods for Predicting Risk of Readmission for Heart Failure — https://4ort.xyz/entity/using-ensemble-machine-learning-methods-for-predicting-risk-of-readmission-for-heart-failure (retrieved 2026-05-24)

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