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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.
Response to "Letter to the Editor concerning: 'A systematic review of network meta-analyses among patients with nonvalvular atrial fibrillation: A comparison of efficacy and safety following treatment with direct oral anticoagulants'".
Cohen AT, Hill NR, Luo X, Masseria C, Abariga SA, Ashaye AO. Cohen AT, et al. Among authors: hill nr. Int J Cardiol. 2020 May 1;306:101. doi: 10.1016/j.ijcard.2019.11.141. Epub 2019 Nov 28. Int J Cardiol. 2020. PMID: 31898985 No abstract available.
[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.
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