Prediction

Nakao, Y. M., Nadarajah, R. ., Shuweihdi, F. ., Nakao, K. ., Fuat, A. ., Moore, J. ., … Gale, C. . (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
Kitson, S. J., Crosbie, E. J., Evans, D. G., Lophatananon, A. ., Muir, K. R., Ashcroft, D. ., … Martin, G. P. (2023). Predicting risk of endometrial cancer in asymptomatic women (PRECISION): Model development and external validation. Bjog. http://doi.org/10.1111/1471-0528.17729
group, D. working. (2022). Estimating individual lifetime risk of incident cardiovascular events in adults with type 2 diabetes: an update and geographical calibration of the DIAbetes Lifetime perspective model (DIAL2). Eur J Prev Cardiol. http://doi.org/10.1093/eurjpc/zwac232
Sullivan, S. A., Kounali, D. ., Morris, R. ., Kessler, D. ., Hamilton, W. ., Lewis, G. ., … Nazareth, I. . (2022). Developing and internally validating a prognostic model (P Risk) to improve the prediction of psychosis in a primary care population using electronic health records: The MAPPED study. Schizophr Res, 246, 241–249. http://doi.org/10.1016/j.schres.2022.06.031