Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study by Gordon, J, Norman, M, Hurst, M, Mason, T, Dickerson, C, Sandler, B, Pollock, KG, Farooqui, U, Groves, L, Tsang, C, Clifton, D, Bakhai, A, Hill, NR

Identification of undiagnosed atrial fibrillation using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI) in primary care: cost-effectiveness of a scre... by 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, C, Rogers, J, Camm, AJ, Cohen, AT

Identification of undiagnosed atrial fibrillation using a machine learning risk-prediction algorithm and diagnostic testing (PULsE-AI) in primary care: a multi-centre randomized co... by Hill, NR, Groves, L, Dickerson, C, Ochs, A, Pang, D, Lawton, S, Hurst, M, Pollock, KG, Sugrue, DM, Tsang, C, Arden, C, Wyn Davies, D, Martin, AC, Sandler, B, Gordon, J, Farooqui, U, Clifton, D, Mallen, C, Rogers, J, Camm, AJ, Cohen, AT

Identification of undiagnosed atrial fibrillation patients using a machine learning risk prediction algorithm and diagnostic testing (PULsE-AI): Study protocol for a randomised con... by 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, Martin, A-C, McEwan, P, Pollock, KG, Rogers, J, Sandler, B, Sugrue, DM, Cohen, AT

The Mechanical Verification of Solid State Interlocking Geographic Data by Simpson, A, Woodcock, J, Davies, J

Other Authors: “…Groves, L…”