Janssen (United States)

Design and implementation of a standardized framework to generate and evaluate patient-level prediction models using observational healthcare data

Jenna Reps, Martijn J. Schuemie, Marc A. Suchard et al.

2018 · 230 Zit.

Assessing stroke severity using electronic health record data: a machine learning approach

Emily Kogan, Kathryn Twyman, Jesse Heap et al.

2020 · 113 Zit.

PheValuator 2.0: Methodological improvements for the PheValuator approach to semi-automated phenotype algorithm evaluation

Joel N. Swerdel, Martijn J. Schuemie, Gayle Murray et al.

2022 · 19 Zit.

Logistic regression models for patient-level prediction based on massive observational data: Do we need all data?

Luis H. John, Jan A. Kors, Jenna Reps et al.

2022 · 17 Zit.

An empirical analysis of dealing with patients who are lost to follow-up when developing prognostic models using a cohort design

Jenna Reps, Peter Rijnbeek, Alana R. Cuthbert et al.

2021 · 16 Zit.

Learning patient-level prediction models across multiple healthcare databases: evaluation of ensembles for increasing model transportability

Jenna Reps, Ross D. Williams, Martijn J. Schuemie et al.

2022 · 15 Zit.

Proceedings of the 4th World Conference on Research Integrity

Susan Patricia O’Brien, Danny Chan, Fks Leung et al.

2016 · 12 Zit.

Implementation and Updating of Clinical Prediction Models: A Systematic Review

Alexander Saelmans, Tom M Seinen, Victor Pera et al.

2025 · 10 Zit.

Evaluating the impact of covariate lookback times on performance of patient-level prediction models

Jill Hardin, Jenna Reps

2021 · 9 Zit.

Development and Evaluation of the Algorithm CErtaInty Tool (ACE-IT) to Assess Electronic Medical Record and Claims-based Algorithms’ Fit for Purpose for Safety Outcomes

Sonal Singh, Julie Beyrer, Xiaofeng Zhou et al.

2022 · 8 Zit.

Evaluating the impact of alternative phenotype definitions on incidence rates across a global data network

Rupa Makadia, Azza Shoaibi, Gowtham Rao et al.

2023 · 3 Zit.

A concentric circles view of health data relations facilitates understanding of sociotechnical challenges for learning health systems and the role of federated data networks

Richard Milne, Mark Sheehan, Brendan Barnes et al.

2022 · 2 Zit.

Search, identification, and curation of cell and gene therapy product regulations using augmented intelligent systems

William Schaut, Akash Shrivastav, Srikanth Ramakrishnan et al.

2023 · 0 Zit.

Transfer-learning on federated observational healthcare data for prediction models using Bayesian sparse logistic regression with informed priors

K. Li, Jenna Reps, Akihiko Nishimura et al.

2025 · 0 Zit.

Accelerating randomized clinical trials in Alzheimer’s Disease using generative machine learning model forecasts of progression

Amin Yakubu, Jennifer Bogert, Run Zhuang et al.

2024 · 0 Zit.