Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation

Research article (EP Europace, 2020) · cited 16× · AI/ML
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Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation

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Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation is a scholarly article[1].

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  • Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation's instance of is recorded as scholarly article[2].

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APA 4ort.xyz Knowledge Graph. (2026). Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation. Retrieved May 24, 2026, from https://4ort.xyz/entity/using-machine-learning-to-identify-local-cellular-properties-that-support-re-entrant-activation-in-patient-specific-mode
MLA “Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/using-machine-learning-to-identify-local-cellular-properties-that-support-re-entrant-activation-in-patient-specific-mode.
BibTeX @misc{4ortxyz_using-machine-learning-to-identify-local-cellular-properties-that-support-re-entrant-activation-in-patient-specific-mode_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation}}, year = {2026}, url = {https://4ort.xyz/entity/using-machine-learning-to-identify-local-cellular-properties-that-support-re-entrant-activation-in-patient-specific-mode}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Using machine learning to identify local cellular properties that support re-entrant activation in patient-specific models of atrial fibrillation — https://4ort.xyz/entity/using-machine-learning-to-identify-local-cellular-properties-that-support-re-entrant-activation-in-patient-specific-mode (retrieved 2026-05-24)

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