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Predicting atrial fibrillation in primary care using machine learning.
Hill NR, Ayoubkhani D, McEwan P, Sugrue DM, Farooqui U, Lister S, Lumley M, Bakhai A, Cohen AT, O'Neill M, Clifton D, Gordon J. Hill NR, et al. PLoS One. 2019 Nov 1;14(11):e0224582. doi: 10.1371/journal.pone.0224582. eCollection 2019. PLoS One. 2019. PMID: 31675367 Free PMC article.
An observational study of international normalized ratio control according to NICE criteria in patients with non-valvular atrial fibrillation: the SAIL Warfarin Out of Range Descriptors Study (SWORDS).
Harris DE, Thayer D, Wang T, Brooks C, Murley G, Gravenor M, Hill NR, Lister S, Halcox J. Harris DE, et al. Among authors: hill nr. Eur Heart J Cardiovasc Pharmacother. 2021 Jan 16;7(1):40-49. doi: 10.1093/ehjcvp/pvz071. Eur Heart J Cardiovasc Pharmacother. 2021. PMID: 31774502 Free PMC article.
[No title available]
[No authors listed] [No authors listed] PMID: 32787456
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.
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 AC, McEwan P, Pollock KG, Rogers J, Sandler B, Sugrue DM, Cohen AT. Hill NR, et al. Contemp Clin Trials. 2020 Dec;99:106191. doi: 10.1016/j.cct.2020.106191. Epub 2020 Oct 19. Contemp Clin Trials. 2020. PMID: 33091585 Free PMC article.
51 results