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Diagnostic and Prognostic Research|July 2, 2020
Logistic regression has similar performance to optimised machine learning algorithms in a clinical setting: application to the discrimination between type 1 and type 2 diabetes in young adultsAnita L Lynam, John M Dennis, Katharine R Owen, et al.
Diagnostic and Prognostic Research|May 15, 2023
Methodological concerns about "concordance-statistic for benefit" as a measure of discrimination in predicting treatment benefitYuan Xia, Paul Gustafson, Mohsen Sadatsafavi
Diagnostic and Prognostic Research|February 29, 2020
Asymmetrical Bioimpedance in the Anterior Circulation for Urgent Stratification of suspected Stroke (ABACUS Stroke): study protocol for a diagnostic accuracy studyChristopher I Price, Lisa Shaw, Anand Dixit, et al.
Diagnostic and Prognostic Research|April 17, 2025
Can we develop real-world prognostic models using observational healthcare data? Large-scale experiment to investigate model sensitivity to database and phenotypesJenna M Reps, Peter R Rijnbeek, Patrick B Ryan
Diagnostic and Prognostic Research|September 7, 2025
Predicting venous thromboembolism among hospitalized adults: a protocol for development and validation of an implementable real-time prognostic modelHenry J Domenico, Benjamin F Tillman, Shari L Just, et al.
Diagnostic and Prognostic Research|January 12, 2021
Continual updating and monitoring of clinical prediction models: time for dynamic prediction systems?David A Jenkins, Glen P Martin, Matthew Sperrin, et al.
Diagnostic and Prognostic Research|December 16, 2020
Protocol for the development and validation of a risk prediction model for stillbirths from 35 weeks gestation in AustraliaJessica K Sexton, Michael Coory, Sailesh Kumar, et al.
Diagnostic and Prognostic Research|July 6, 2022
Risk of bias of prognostic models developed using machine learning: a systematic review in oncologyPaula Dhiman, Jie Ma, Constanza L Andaur Navarro, et al.
Diagnostic and Prognostic Research|September 1, 2020
UMBRELLA protocol: systematic reviews of multivariable biomarker prognostic models developed to predict clinical outcomes in patients with heart failureMaria D L A Vazquez-Montes, Thomas P A Debray, Kathryn S Taylor, et al.
Diagnostic and Prognostic Research|September 25, 2020
Development of risk prediction models to predict urine culture growth for adults with suspected urinary tract infection in the emergency department: protocol for an electronic health record study from a single UK university hospitalPatrick Rockenschaub, Martin J Gill, David McNulty, et al.
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