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Jenna M Reps

Showing results (11-20 of 34) with videos related to

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Journal of the American Medical Informatics Association : JAMIA|May 20, 2024
Comparing penalization methods for linear models on large observational health dataEgill A Fridgeirsson, Ross Williams, Peter Rijnbeek, et al.
BMC Pregnancy and Childbirth|May 26, 2022
Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4-10 of pregnancyJenna M Reps, Marsha Wilcox, Beth Ann McGee, et al.
Journal of the American Medical Informatics Association : JAMIA|November 19, 2020
Machine-learning model to predict the cause of death using a stacking ensemble method for observational dataChungsoo Kim, Seng Chan You, Jenna M Reps, et al.
BMC Medical Informatics and Decision Making|February 7, 2021
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort designJenna M Reps, Peter Rijnbeek, Alana Cuthbert, et al.
Journal of the American Medical Informatics Association : JAMIA|May 3, 2018
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare dataJenna M Reps, Martijn J Schuemie, Marc A Suchard, et al.
BMC Medical Research Methodology|December 5, 2022
External validation of existing dementia prediction models on observational health dataLuis H John, Jan A Kors, Egill A Fridgeirsson, et al.
International Journal of Medical Informatics|April 16, 2022
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?Luis H John, Jan A Kors, Jenna M Reps, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|December 6, 2021
90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction modelRoss D Williams, Jenna M Reps, , et al.
Drug Safety|May 17, 2022
Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and ConsiderationsJenna Wong, Daniel Prieto-Alhambra, Peter R Rijnbeek, et al.
IEEE Journal of Biomedical and Health Informatics|September 18, 2013
A novel semisupervised algorithm for rare prescription side effect discoveryJenna M Reps, Jonathan M Garibaldi, Uwe Aickelin, et al.
Pageof 4

Showing results (11-20 of 34) with videos related to

Sort By:
Pageof 4
Journal of the American Medical Informatics Association : JAMIA|May 20, 2024
Comparing penalization methods for linear models on large observational health dataEgill A Fridgeirsson, Ross Williams, Peter Rijnbeek, et al.
BMC Pregnancy and Childbirth|May 26, 2022
Development of multivariable models to predict perinatal depression before and after delivery using patient reported survey responses at weeks 4-10 of pregnancyJenna M Reps, Marsha Wilcox, Beth Ann McGee, et al.
Journal of the American Medical Informatics Association : JAMIA|November 19, 2020
Machine-learning model to predict the cause of death using a stacking ensemble method for observational dataChungsoo Kim, Seng Chan You, Jenna M Reps, et al.
BMC Medical Informatics and Decision Making|February 7, 2021
An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort designJenna M Reps, Peter Rijnbeek, Alana Cuthbert, et al.
Journal of the American Medical Informatics Association : JAMIA|May 3, 2018
Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare dataJenna M Reps, Martijn J Schuemie, Marc A Suchard, et al.
BMC Medical Research Methodology|December 5, 2022
External validation of existing dementia prediction models on observational health dataLuis H John, Jan A Kors, Egill A Fridgeirsson, et al.
International Journal of Medical Informatics|April 16, 2022
Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?Luis H John, Jan A Kors, Jenna M Reps, et al.
Knee Surgery, Sports Traumatology, Arthroscopy : Official Journal of the ESSKA|December 6, 2021
90-Day all-cause mortality can be predicted following a total knee replacement: an international, network study to develop and validate a prediction modelRoss D Williams, Jenna M Reps, , et al.
Drug Safety|May 17, 2022
Applying Machine Learning in Distributed Data Networks for Pharmacoepidemiologic and Pharmacovigilance Studies: Opportunities, Challenges, and ConsiderationsJenna Wong, Daniel Prieto-Alhambra, Peter R Rijnbeek, et al.
IEEE Journal of Biomedical and Health Informatics|September 18, 2013
A novel semisupervised algorithm for rare prescription side effect discoveryJenna M Reps, Jonathan M Garibaldi, Uwe Aickelin, et al.
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