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Jenna M Reps

Showing results (1-10 of 34) with videos related to

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BMC Medical Research Methodology|August 29, 2021
Evaluating the impact of covariate lookback times on performance of patient-level prediction modelsJill Hardin, Jenna M Reps
BMJ Open|December 25, 2021
Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare dataJenna M Reps, Patrick Ryan, P R Rijnbeek
Computers in Biology and Medicine|January 2, 2016
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern miningJenna M Reps, Uwe Aickelin, Richard B Hubbard
NPJ Digital Medicine|January 27, 2025
Extensive benchmarking of a method that estimates external model performance from limited statistical characteristicsTal El-Hay, Jenna M Reps, Chen Yanover
Drug Safety|May 5, 2019
Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims DataJenna M Reps, Peter R Rijnbeek, Patrick B Ryan
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
Journal of Biomedical Informatics|August 7, 2019
Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking statusJenna M Reps, Peter R Rijnbeek, Patrick B Ryan
Journal of the American Medical Informatics Association : JAMIA|May 14, 2026
Loss function influence on hyperparameter optimization for observational healthcare prediction modelsFleur Vereijken, Jenna M Reps, Peter Rijnbeek, et al.
Drug Safety|January 16, 2020
Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative DatasetsJoel N Swerdel, Jenna M Reps, Daniel Fife, et al.
Studies in Health Technology and Informatics|May 19, 2023
The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction ModelsRoss D Williams, Sicco den Otter, Jenna M Reps, et al.
Pageof 4

Showing results (1-10 of 34) with videos related to

Sort By:
Pageof 4
BMC Medical Research Methodology|August 29, 2021
Evaluating the impact of covariate lookback times on performance of patient-level prediction modelsJill Hardin, Jenna M Reps
BMJ Open|December 25, 2021
Investigating the impact of development and internal validation design when training prognostic models using a retrospective cohort in big US observational healthcare dataJenna M Reps, Patrick Ryan, P R Rijnbeek
Computers in Biology and Medicine|January 2, 2016
Refining adverse drug reaction signals by incorporating interaction variables identified using emergent pattern miningJenna M Reps, Uwe Aickelin, Richard B Hubbard
NPJ Digital Medicine|January 27, 2025
Extensive benchmarking of a method that estimates external model performance from limited statistical characteristicsTal El-Hay, Jenna M Reps, Chen Yanover
Drug Safety|May 5, 2019
Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims DataJenna M Reps, Peter R Rijnbeek, Patrick B Ryan
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
Journal of Biomedical Informatics|August 7, 2019
Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking statusJenna M Reps, Peter R Rijnbeek, Patrick B Ryan
Journal of the American Medical Informatics Association : JAMIA|May 14, 2026
Loss function influence on hyperparameter optimization for observational healthcare prediction modelsFleur Vereijken, Jenna M Reps, Peter Rijnbeek, et al.
Drug Safety|January 16, 2020
Developing Predictive Models to Determine Patients in End-of-Life Care in Administrative DatasetsJoel N Swerdel, Jenna M Reps, Daniel Fife, et al.
Studies in Health Technology and Informatics|May 19, 2023
The DELPHI Library: Improving Model Validation, Transparency and Dissemination Through a Centralised Library of Prediction ModelsRoss D Williams, Sicco den Otter, Jenna M Reps, et al.
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