Prediction

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

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Kitson, S. J., Crosbie, E. J., Evans, D. G., Lophatananon, A., Muir, K. R., Ashcroft, D., et al. (2023). Predicting risk of endometrial cancer in asymptomatic women (PRECISION): Model development and external validation. Bjog. http://doi.org/10.1111/1471-0528.17729

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group, D. I. A. L. 2 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

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Sullivan, S. A., Kounali, D., Morris, R., Kessler, D., Hamilton, W., Lewis, G., et al. (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

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