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Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification

Research article (Communications Medicine, 2025) · cited 18× · AI/ML
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Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification

Summary

Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification is a scholarly article[1].

Key Facts

  • Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification'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). Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification. Retrieved May 24, 2026, from https://4ort.xyz/entity/interpretable-machine-learning-leverages-proteomics-to-improve-cardiovascular-disease-risk-prediction-and-biomarker-iden
MLA “Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/interpretable-machine-learning-leverages-proteomics-to-improve-cardiovascular-disease-risk-prediction-and-biomarker-iden.
BibTeX @misc{4ortxyz_interpretable-machine-learning-leverages-proteomics-to-improve-cardiovascular-disease-risk-prediction-and-biomarker-iden_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification}}, year = {2026}, url = {https://4ort.xyz/entity/interpretable-machine-learning-leverages-proteomics-to-improve-cardiovascular-disease-risk-prediction-and-biomarker-iden}, note = {Accessed: 2026-05-24}}
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