Items where authors include "Raveendra, K."

Article

Younis, A., Larvin, H., Kazi, K. et al. (10 more authors) (2025) Incidence and severity of aortic stenosis according to machine learning predicted risk of atrial fibrillation. Scientific Reports. ISSN 2045-2322 (In Press)

Wahab, A., Nadarajah, R. orcid.org/0000-0001-9895-9356, Larvin, H. et al. (15 more authors) (2025) Systematic screening for atrial fibrillation with non-invasive devices: a systematic review and meta-analysis. The Lancet Regional Health Europe, 53. 101298. ISSN 2666-7762

Gale, C.P. orcid.org/0000-0003-4732-382X, Hurst, J.R., Hawkins, N.M. et al. (114 more authors) (2025) Identification and management of cardiopulmonary risk in patients with COPD: a multidisciplinary consensus and modified Delphi study. European Journal of Preventive Cardiology. zwaf119. ISSN 2047-4873

Helbitz, A., Haris, M., Younsi, T. et al. (12 more authors) (2025) Prediction of atrial fibrillation after a stroke event: a systematic review with meta-analysis. Heart Rhythm. ISSN 1547-5271

Wahab, A., Nadarajah, R., Reynolds, C. et al. (12 more authors) (2024) Phenotypic characterization of people at risk of atrial fibrillation: protocol for the FIND-AF longitudinal cohort study. European Journal of Preventive Cardiology (EJPC), 31 (18). pp. 2099-2103. ISSN 2047-4873

Haris, M., Raveendra, K., Travlos, C.K. et al. (5 more authors) (2024) Prediction of incident chronic kidney disease in community-based electronic health records: a systematic review and meta-analysis. Clinical Kidney Journal, 17 (5). sfae098. ISSN 2048-8505

Nadarajah, R., Wahab, A., Reynolds, C. et al. (10 more authors) (2023) Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify undiagnosed atrial fibrillation. Open Heart, 10 (2). e002447. ISSN 2053-3624

Nadarajah, R. orcid.org/0000-0001-9895-9356, Wahab, A., Reynolds, C. et al. (10 more authors) (2023) Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify undiagnosed atrial fibrillation. Open Heart, 10 (2). e002447.

Wu, J., Nadarajah, R. orcid.org/0000-0001-9895-9356, Nakao, Y.M. orcid.org/0000-0002-3627-5626 et al. (8 more authors) (2023) Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study. Open Heart, 10 (2). e002357. ISSN 2053-3624

Conference or Workshop Item

Nadarajah, R., Wahab, A., Reynolds, C. et al. (12 more authors) (2024) Development, validation and prospective clinical implementation of a machine learning algorithm for incident cardio-renal-metabolic diseases and cardiovascular death: the OPTIMISE study. In: ESC Preventive Cardiology 2024, 25-27 Apr 2024, Athens, Greece.

Proceedings Paper

Helbitz, A., Haris, M., Younsi, T. et al. (8 more authors) (2024) Prediction of atrial fibrillation in patients with stroke: a systematic review with meta-analysis. In: EP Europace. EHRA 2024, 07-09 Apr 2024, Berlin, Germany. Oxford University Press .