electronic health record

Yoshimura, H. ., Paliwal, N. ., Gonzalez-Izquierdo, A. ., Finan, C. ., Schmidt, A. F., Lip, G. Y. H., & Providencia, R. . (2025). Atrial fibrillation development in the heart failure population from nationwide British linked electronic health records. ESC Heart Fail. http://doi.org/10.1002/ehf2.15264
Requena, G. ., Joksaite, S. ., Galwey, N. ., & Jakes, R. W. (2023). An algorithm-based approach to ascertain patients with rare diseases in electronic health records using hypereosinophilic syndrome as an example. Pharmacoepidemiol Drug Saf. http://doi.org/10.1002/pds.5655
Briggs, E. ., de Kamps, M. ., Hamilton, W. ., Johnson, O. ., McInerney, C. D., & Neal, R. D. (2022). Machine Learning for Risk Prediction of Oesophago-Gastric Cancer in Primary Care: Comparison with Existing Risk-Assessment Tools. Cancers (Basel), 14. http://doi.org/10.3390/cancers14205023