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An explainable machine learning approach for automated medical decision support of heart disease

Research article (Data & Knowledge Engineering, 2024) · cited 16× · AI/ML
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An explainable machine learning approach for automated medical decision support of heart disease

Summary

An explainable machine learning approach for automated medical decision support of heart disease is a scholarly article[1].

Key Facts

  • An explainable machine learning approach for automated medical decision support of heart disease'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). An explainable machine learning approach for automated medical decision support of heart disease. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-explainable-machine-learning-approach-for-automated-medical-decision-support-of-heart-disease
MLA “An explainable machine learning approach for automated medical decision support of heart disease.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-explainable-machine-learning-approach-for-automated-medical-decision-support-of-heart-disease.
BibTeX @misc{4ortxyz_an-explainable-machine-learning-approach-for-automated-medical-decision-support-of-heart-disease_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An explainable machine learning approach for automated medical decision support of heart disease}}, year = {2026}, url = {https://4ort.xyz/entity/an-explainable-machine-learning-approach-for-automated-medical-decision-support-of-heart-disease}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An explainable machine learning approach for automated medical decision support of heart disease — https://4ort.xyz/entity/an-explainable-machine-learning-approach-for-automated-medical-decision-support-of-heart-disease (retrieved 2026-05-24)

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