Correction: Benefits of Aldosterone Receptor Antagonism in Chronic Kidney Disease (BARACK D) trial–a multi-centre, prospective, randomised, open, blinded end-point, 36-month study of 2,616 patients within primary care with stage 3b chronic kidney disease to compare the efficacy of spironolactone 25 mg once daily in addition to routine care on mortality and cardiovascular outcomes versus routine care alone: study protocol for a randomized controlled trial

Autor: Nathan R. Hill, Daniel Lasserson, Ben Thompson, Rafael Perera-Salazar, Jane Wolstenholme, Peter Bower, Thomas Blakeman, David Fitzmaurice, Paul Little, Gene Feder, Nadeem Qureshi, Maarten Taal, Jonathan Townend, Charles Ferro, Richard McManus, F. D. Richard Hobbs

Publikováno v: Trials, Vol 23, Iss 1, Pp 1-2 (2022)

Externí odkaz: https://doaj.org/article/881d5faeee0b45829ab789f7171b3220

Application of a machine learning algorithm for detection of atrial fibrillation in secondary care

Autor: Kevin G. Pollock, Sara Sekelj, Ellie Johnston, Belinda Sandler, Nathan R. Hill, Fu Siong Ng, Sadia Khan, Ayman Nassar, Usman Farooqui

Publikováno v: International Journal of Cardiology: Heart & Vasculature, Vol 31, Iss , Pp 100674- (2020)

Atrial fibrillation (AF) is the most common sustained heart arrhythmia and significantly increases risk of stroke. Opportunistic AF testing in high-risk patients typically requires frequent electrocardiogram tests to capture the arrhythmia. Risk-pred

Externí odkaz: https://doaj.org/article/5c2ee79e0f0140d6802c6ade82f407b5

Effectiveness of current and future regimens for treating genotype 3 hepatitis C virus infection: a large-scale systematic review

Autor: Hosnieh Fathi, Andrew Clark, Nathan R. Hill, Geoffrey Dusheiko

Publikováno v: BMC Infectious Diseases, Vol 17, Iss 1, Pp 1-14 (2017)

Abstract Background Six distinct genetic variants (genotypes 1 − 6) of hepatitis C virus (HCV) exist globally. Certain genotypes are more prevalent in particular countries or regions than in others but, globally, genotype 3 (GT3) is the second most

Externí odkaz: https://doaj.org/article/9226597cfd8d4502a784dd537512e22f

Predicting atrial fibrillation in primary care using machine learning.

Autor: Nathan R Hill, Daniel Ayoubkhani, Phil McEwan, Daniel M Sugrue, Usman Farooqui, Steven Lister, Matthew Lumley, Ameet Bakhai, Alexander T Cohen, Mark O'Neill, David Clifton, Jason Gordon

Publikováno v: PLoS ONE, Vol 14, Iss 11, p e0224582 (2019)

BACKGROUND:Atrial fibrillation (AF) is the most common sustained heart arrhythmia. However, as many cases are asymptomatic, a large proportion of patients remain undiagnosed until serious complications arise. Efficient, cost-effective detection of th

Externí odkaz: https://doaj.org/article/d97260a1d0d04ea4bb528c5cf9dd60a2

Using machine learning to predict anticoagulation control in atrial fibrillation: a UK Clinical Practice Research Datalink study

Autor: Lara M. Groves, Belinda Sandler, Usman Farooqui, Michael Hurst, Kevin G.J. Pollock, Nathan R. Hill, Max Norman, David A. Clifton, Thomas Mason, Ameet Bakhai, Carmen Tsang, Jason Gordon, Carissa Dickerson

Publikováno v: Informatics in Medicine Unlocked, Vol 25, Iss, Pp 100688-(2021)
Gordon, J, Mason, T, Norman, M, Hurst, M, Dickerson, C, Sandler, B, Pollock, K, Farooqui, U, Groves, L, Tsang, C, Clifton, D, Bakhai, A & Hill, N 2021, ' Using machine learning to predict anticoagulation control in atrial fibrillation: A UK Clinical Practice Research Datalink study ', Informatics in Medicine Unlocked, vol. 25, 100688 . https://doi.org/10.1016/j.imu.2021.100688

Objective To investigate the predictive performance of machine learning (ML) algorithms for estimating anticoagulation control in patients with atrial fibrillation (AF) who are treated with warfarin. Methods This was a retrospective cohort study of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4de719c4940c2bb0d62619c65550c3e8
https://ora.ox.ac.uk/objects/uuid:eff541fb-ffdd-4d20-a825-17de38a6208e