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Hill, NR, Groves, L, Dickerson, C, Boyce, R, Lawton, S, Hurst, M, Pollock, KG, Sugrue, DM, Lister, S, Arden, C, Davies, DW, Martin, A-C, Sandler, B, Gordon, J, Farooqui, U, Clifton, D, Mallen, CD ORCID: https://orcid.org/0000-0002-2677-1028, Rogers, J, Camm, AJ and Cohen, AT (2022) Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a screening strategy evaluated in a randomized controlled trial in England. Journal of Medical Economics, 25 (1). 974 - 983.

Hill, NR, Arden, C, Beresford-Hulme, L, Camm, AJ, Clifton, D, Davies, DW, Farooqui, U, Gordon, J, Groves, L, Hurst, M, Lawton, S, Lister, S, Mallen, C ORCID: https://orcid.org/0000-0002-2677-1028, Martin, A-C, McEwan, P, Pollock, KG, Rogers, J, Sandler, B, Sugrue, DM and Cohen, AT (2020) Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised controlled trial. Contemporary Clinical Trials Communications, 99. 106191 - ?.