Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England

Hill, Nathan R; Groves, Lara; Dickerson, Carissa; Ochs, Andreas; Pang, Dong; Lawton, Sarah; Hurst, Michael; Pollock, Kevin G; Sugrue, Daniel M; Tsang, Carmen; Arden, Chris; Wyn Davies, David; Celine Martin, Anne; Sandler, Belinda; Gordon, Jason; Farooqui, Usman; Clifton, David; Mallen, Christian; Rogers, Jennifer; John Camm, Alan; Cohen, Alexander T

doi:10.1093/ehjdh/ztac009

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England

Hill, Nathan R; Groves, Lara; Dickerson, Carissa; Ochs, Andreas; Pang, Dong; Lawton, Sarah; Hurst, Michael; Pollock, Kevin G; Sugrue, Daniel M; Tsang, Carmen; Arden, Chris; Wyn Davies, David; Celine Martin, Anne; Sandler, Belinda; Gordon, Jason; Farooqui, Usman; Clifton, David; Mallen, Christian; Rogers, Jennifer; John Camm, Alan; Cohen, Alexander T

Authors

Nathan R Hill

Lara Groves

Carissa Dickerson

Andreas Ochs

Dong Pang

Sarah Lawton s.a.lawton@keele.ac.uk

Michael Hurst

Kevin G Pollock

Daniel M Sugrue

Carmen Tsang

Chris Arden

David Wyn Davies

Anne Celine Martin

Belinda Sandler

Jason Gordon

Usman Farooqui

David Clifton

Christian Mallen c.d.mallen@keele.ac.uk

Jennifer Rogers

Alan John Camm

Alexander T Cohen

Citation

Hill, N. R., Groves, L., Dickerson, C., Ochs, A., Pang, D., Lawton, S., Hurst, M., Pollock, K. G., Sugrue, D. M., Tsang, C., Arden, C., Wyn Davies, D., Celine Martin, A., Sandler, B., Gordon, J., Farooqui, U., Clifton, D., Mallen, C., Rogers, J., John Camm, A., & Cohen, A. T. (2022). Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomised controlled trial in England. European Heart Journal, S111 - S111. https://doi.org/10.1093/ehjdh/ztac009

Acceptance Date	Mar 23, 2022
Publication Date	Mar 23, 2022
Journal	European Heart Journal
Print ISSN	0195-668X
Electronic ISSN	1522-9645
Publisher	Oxford University Press
Pages	S111 - S111
DOI	https://doi.org/10.1093/ehjdh/ztac009
Keywords	atrial fibrillation, machine learning, risk prediction, primary care, screening
Public URL	https://keele-repository.worktribe.com/output/423375
Publisher URL	https://academic.oup.com/ehjdh/advance-article/doi/10.1093/ehjdh/ztac009/6553188