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Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England
Research article (European Heart Journal - Digital Health, 2022) · cited 29× · AI/ML
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England
Summary
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England is a scholarly article[1].
Key Facts
Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England. Retrieved May 24, 2026, from https://4ort.xyz/entity/identification-of-undiagnosed-atrial-fibrillation-using-a-machine-learning-risk-prediction-algorithm-and-diagnostic-test
MLA“Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/identification-of-undiagnosed-atrial-fibrillation-using-a-machine-learning-risk-prediction-algorithm-and-diagnostic-test.
BibTeX@misc{4ortxyz_identification-of-undiagnosed-atrial-fibrillation-using-a-machine-learning-risk-prediction-algorithm-and-diagnostic-test_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England}}, year = {2026}, url = {https://4ort.xyz/entity/identification-of-undiagnosed-atrial-fibrillation-using-a-machine-learning-risk-prediction-algorithm-and-diagnostic-test}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized controlled trial in England — https://4ort.xyz/entity/identification-of-undiagnosed-atrial-fibrillation-using-a-machine-learning-risk-prediction-algorithm-and-diagnostic-test (retrieved 2026-05-24)