Hill, N

Self-monitoring of Blood Pressure in Patients With Hypertension-Related Multi-morbidity: Systematic Review and Individual Patient Data Meta-analysis

Sheppard, J. P., Tucker, K. L., Davison, W. J., Stevens, R., Aekplakorn, W., Bosworth, H. B., Bove, A., Earle, K., Godwin, M., Green, B. B., et al. (2020) · American Journal of Hypertension

Blood Pressure and Hypertension StudiesSodium Intake and Health

Cited by 108

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, A. T., Hill, N. R., Luo, X., Masseria, C., Abariga, S. A., & Ashaye, A. O. (2018) · International Journal of Cardiology

Atrial Fibrillation Management and OutcomesVenous Thromboembolism Diagnosis and Management

Cited by 57

Cost-effectiveness of targeted screening for the identification of patients with atrial fibrillation: evaluation of a machine learning risk prediction algorithm

Hill, N. R., Sandler, B., Mokgokong, R., Lister, S., Ward, T., Boyce, R., Farooqui, U., & Gordon, J. (2020) · Journal of Medical Economics

Atrial Fibrillation Management and OutcomesHealth Systems, Economic Evaluations, Quality of Life

Cited by 38

Deconvolution analysis of 24‐h serum cortisol profiles informs the amount and distribution of hydrocortisone replacement therapy

Peters, C. J., Hill, N., Dattani, M. T., Charmandari, E., Matthews, D. R., & Hindmarsh, P. C. (2013) · Clinical Endocrinology

Adrenal Hormones and DisordersStress Responses and Cortisol

Cited by 34

Budget impact analysis of a machine learning algorithm to predict high risk of atrial fibrillation among primary care patients

Szymanski, T., Ashton, R., Sekelj, S., Petrungaro, B., Pollock, K. G., Sandler, B., Lister, S., Hill, N. R., & Farooqui, U. (2022) · EP Europace

Atrial Fibrillation Management and OutcomesHealth Systems, Economic Evaluations, Quality of Life

Cited by 22