R. Nadarajah

First name
R.
Last name
Nadarajah
Nakao, Y. M., Nadarajah, R., Shuweihdi, F., Nakao, K., Fuat, A., Moore, J., et al. (2024). Predicting incident heart failure from population-based nationwide electronic health records: protocol for a model development and validation study. Bmj Open, 14, e073455. http://doi.org/10.1136/bmjopen-2023-073455
Nadarajah, R., Wu, J., Arbel, R., Haim, M., Zahger, D., Benita, T. R., et al. (2023). Risk of atrial fibrillation and association with other diseases: protocol of the derivation and international external validation of a prediction model using nationwide population-based electronic health records. Bmj Open, 13, e075196. http://doi.org/10.1136/bmjopen-2023-075196
Wu, J., Nadarajah, R., Nakao, Y. M., Nakao, K., Wilkinson, C., Cowan, J. C., et al. (2023). Temporal trends of cause-specific mortality after diagnosis of atrial fibrillation. Eur Heart J. http://doi.org/10.1093/eurheartj/ehad571
Nakao, Y. M., Nakao, K., Nadarajah, R., Banerjee, A., Fonarow, G. C., Petrie, M. C., et al. (2023). Prognosis, characteristics, and provision of care for patients with the unspecified heart failure electronic health record phenotype: a population-based linked cohort study of 95262 individuals. Eclinicalmedicine, 63, 102164. http://doi.org/10.1016/j.eclinm.2023.102164
Wu, J., Nadarajah, R., Nakao, Y. M., Nakao, K., Hogg, D., Raveendra, K., et al. (2023). Incident cardiovascular, renal, metabolic diseases and death in individuals identified for risk-guided atrial fibrillation screening: a nationwide cohort study. Open Heart, 10. http://doi.org/10.1136/openhrt-2023-002357
Nadarajah, R., Wu, J., Hogg, D., Raveendra, K., Nakao, Y. M., Nakao, K., et al. (2023). Prediction of short-term atrial fibrillation risk using primary care electronic health records. Heart. http://doi.org/10.1136/heartjnl-2022-322076
Wu, J., Nadarajah, R., Nakao, Y. M., Nakao, K., Wilkinson, C., Mamas, M. A., et al. (2022). Temporal trends and patterns in atrial fibrillation incidence: A population-based study of 3ยท4 million individuals. Lancet Reg Health Eur, 17, 100386. http://doi.org/10.1016/j.lanepe.2022.100386
Nadarajah, R., Wu, J., Frangi, A. F., Hogg, D., Cowan, C., & Gale, C. (2021). Predicting patient-level new-onset atrial fibrillation from population-based nationwide electronic health records: protocol of FIND-AF for developing a precision medicine prediction model using artificial intelligence. BMJ Open. http://doi.org/10.1136/bmjopen-2021-052887