| Prediction of short-term atrial fibrillation risk using primary care electronic health records R Nadarajah, J Wu, D Hogg, K Raveendra, YM Nakao, K Nakao, R Arbel, ... Heart 109 (14), 1072-1079, 2023 | 18 | 2023 |
| Tools used to assay genomic instability in cancers and cancer meiomitosis J Gantchev, B Ramchatesingh, M Berman‐Rosa, D Sikorski, K Raveendra, ... Journal of Cell Communication and Signaling 16 (2), 159-177, 2022 | 11 | 2022 |
| Inequalities in care delivery and outcomes for myocardial infarction, heart failure, atrial fibrillation, and aortic stenosis in the United Kingdom R Nadarajah, M Farooq, K Raveendra, YM Nakao, K Nakao, C Wilkinson, ... The Lancet Regional Health–Europe 33, 2023 | 6 | 2023 |
| Prediction models for heart failure in the community: A systematic review and meta‐analysis R Nadarajah, T Younsi, E Romer, K Raveendra, YM Nakao, K Nakao, ... European Journal of Heart Failure 25 (10), 1724-1738, 2023 | 6 | 2023 |
| FIND-AF: a widely applicable artificial intelligence algorithm to target systematic screening for atrial fibrillation in older individuals through primary care electronic … J Wu, R Nadarajah, K Raveendra, JC Cowan, CP Gale Europace 24 (Supplement_1), euac053. 565, 2022 | 2 | 2022 |
| Future Innovations in Novel Detection for Atrial Fibrillation (FIND-AF): pilot study of an electronic health record machine learning algorithm-guided intervention to identify … R Nadarajah, A Wahab, C Reynolds, K Raveendra, D Askham, R Dawson, ... Open Heart 10 (2), e002447, 2023 | 1 | 2023 |
| Ectopically expressed meiosis-specific cancer testis antigen HORMAD1 promotes genomic instability in squamous cell carcinomas J Gantchev, J Messina-Pacheco, A Martínez Villarreal, B Ramchatesingh, ... Cells 12 (12), 1627, 2023 | 1 | 2023 |
| Development, validation and prospective clinical implementation of a machine learning algorithm for incident cardio-renal-metabolic diseases and cardiovascular death: the … R Nadarajah, A Wahab, C Reynolds, DC Hogg, K Raveendra, S Bennett, ... European Journal of Preventive Cardiology 31 (Supplement_1), 2024 | | 2024 |
| 204 Machine learning for incident cardio-renal-metabolic disease and cardiovascular death: the optimise study R Nadarajah, A Wahab, C Reynolds, A Bhatty, H Mohammad, ... Heart 110 (Suppl 3), A215-A216, 2024 | | 2024 |
| Prediction of incident chronic kidney disease in community-based electronic health records: a systematic review and meta-analysis M Haris, K Raveendra, CK Travlos, A Lewington, J Wu, F Shuweidhi, ... Clinical Kidney Journal 17 (5), sfae098, 2024 | | 2024 |
| Prediction of atrial fibrillation in patients with stroke: a systematic review with meta-analysis A Helbitz, M Haris, T Younsi, E Romer, K Raveendra, C Hayward, ... Europace 26 (Supplement_1), euae102. 042, 2024 | | 2024 |
| Primary prevention of atrial fibrillation with pharmacological therapy K Raveendra, H Larvin, M Farooq, H Mohammed, J Wu, C Gale, ... Europace 26 (Supplement_1), euae102. 829, 2024 | | 2024 |
| Machine learning to identify community-dwelling individuals at higher risk of incident cardio-renal-metabolic diseases and death R Nadarajah, A Wahab, C Reynolds, A Bhatty, H Mohammad, ... Future Healthcare Journal 11, 100109, 2024 | | 2024 |
| A systematic review and meta-analysis of prediction models for incident heart failure and chronic kidney disease in community-based electronic health records R Nadarajah, H Mohammad, T Younsi, E Romer, K Raveendra, C Travlos, ... European Heart Journal 44 (Supplement_2), ehad655. 2951, 2023 | | 2023 |
| Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study J Wu, R Nadarajah, YM Nakao, K Nakao, D Hogg, K Raveendra, R Arbel, ... Open Heart 10 (2), e002357, 2023 | | 2023 |
