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Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status

Research article (Genetic Epidemiology, 2020) · cited 46× · AI/ML
academia openalex:W3000150343
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Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status

Summary

Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status is a scholarly article[1].

Key Facts

  • Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status's instance of is recorded as scholarly article[2].

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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). Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status. Retrieved May 24, 2026, from https://4ort.xyz/entity/polygenic-risk-scores-outperform-machine-learning-methods-in-predicting-coronary-artery-disease-status
MLA “Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/polygenic-risk-scores-outperform-machine-learning-methods-in-predicting-coronary-artery-disease-status.
BibTeX @misc{4ortxyz_polygenic-risk-scores-outperform-machine-learning-methods-in-predicting-coronary-artery-disease-status_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Polygenic risk scores outperform machine learning methods in predicting coronary artery disease status}}, year = {2026}, url = {https://4ort.xyz/entity/polygenic-risk-scores-outperform-machine-learning-methods-in-predicting-coronary-artery-disease-status}, note = {Accessed: 2026-05-24}}
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