Michael J. Pencina

According to our database, Michael J. Pencina authored at least 30 papers between 2013 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FairPOT: Balancing AUC Performance and Fairness with Proportional Optimal Transport.

Pengxi Liu, Yi Shen, Matthew M. Engelhard, Benjamin Alan Goldstein, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

CoRR, August, 2025

Enabling Inclusive Systematic Reviews: Incorporating Preprint Articles with Large Language Model-Driven Evaluations.

Rui Yang, Jiayi Tong, Haoyuan Wang, Hui Huang, Ziyang Hu, Peiyu Li, Nan Liu, Christopher J. Lindsell, Michael J. Pencina, Yong Chen, Chuan Hong

CoRR, March, 2025

An evaluation framework for ambient digital scribing tools in clinical applications.

Haoyuan Wang, Rui Yang, Mahmoud Alwakeel, Ankit Kayastha, Anand Chowdhury, Joshua M. Biro, Anthony D. Sorrentino, Jessica L. Handley, Sarah Hantzmon, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Armando Bedoya, Monica Agrawal, Raj M. Ratwani, Eric G. Poon, Michael J. Pencina, Kathryn I. Pollak, Chuan Hong

npj Digit. Medicine, 2025

Application of unified health large language model evaluation framework to In-Basket message replies: bridging qualitative and quantitative assessments.

Chuan Hong, Anand Chowdhury, Anthony D. Sorrentino, Haoyuan Wang, Monica Agrawal, Armando Bedoya, Sophia Bessias, Nicoleta J. Economou-Zavlanos, Ian Wong, Christian Pean, Fan Li, Kathryn I. Pollak, Eric G. Poon, Michael J. Pencina

J. Am. Medical Informatics Assoc., 2025

Exploring trade-offs in equitable stroke risk prediction with parity-constrained and race-free models.

Matthew Engelhard, Daniel Wojdyla, Haoyuan Wang, Michael J. Pencina, Ricardo Henao

Artif. Intell. Medicine, 2025

2024

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

Nicoleta J. Economou-Zavlanos, Sophia Bessias, Michael P. Cary, Armando Bedoya, Benjamin Goldstein, John Eric Jelovsek, Cara O'Brien, Nancy Walden, Matthew Elmore, Amanda B. Parrish, Scott Elengold, Kay S. Lytle, Suresh Balu, Michael E. Lipkin, Afreen Idris Shariff, Michael Gao, David Leverenz, Ricardo Henao, David Y. Ming, David M. Gallagher, Michael J. Pencina, Eric G. Poon

J. Am. Medical Informatics Assoc., February, 2024

Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance.

Chuan Hong, Molei Liu, Daniel Wojdyla, Jimmy Hickey, Michael J. Pencina, Ricardo Henao

J. Biomed. Informatics, January, 2024

Distributionally Robust Clustered Federated Learning: A Case Study in Healthcare.

Xenia Konti, Hans Riess, Manos Giannopoulos, Yi Shen, Michael J. Pencina, Nicoleta J. Economou-Zavlanos, Michael M. Zavlanos

Proceedings of the 63rd IEEE Conference on Decision and Control, 2024

Adaptive Discretization for Event PredicTion (ADEPT).

Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Semi-supervised calibration of noisy event risk (SCANER) with electronic health records.

Chuan Hong, Liang Liang, Qianyu Yuan, Kelly Cho, Katherine P. Liao, Michael J. Pencina, David C. Christiani, Tianxi Cai

J. Biomed. Informatics, August, 2023

Calibration and Uncertainty in Neural Time-to-Event Modeling.

Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao

IEEE Trans. Neural Networks Learn. Syst., April, 2023

Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions.

Shauna M. Overgaard, Megan G. Graham, Tracey Brereton, Michael J. Pencina, John D. Halamka, David E. Vidal, Nicoleta J. Economou-Zavlanos

npj Digit. Medicine, 2023

Improving Event Time Prediction by Learning to Partition the Event Time Space.

Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard

CoRR, 2023

All models are local: time to replace external validation with recurrent local validation.

Alexey Youssef, Michael J. Pencina, Anshul Thakur, Tingting Zhu, David A. Clifton, Nigam H. Shah

CoRR, 2023

2022

Observability and its impact on differential bias for clinical prediction models.

Mengying Yan, Michael J. Pencina, L. Ebony Boulware, Benjamin Alan Goldstein

J. Am. Medical Informatics Assoc., 2022

A framework for the oversight and local deployment of safe and high-quality prediction models.

Armando Bedoya, Nicoleta J. Economou-Zavlanos, Benjamin Alan Goldstein, Allison Young, John Eric Jelovsek, Cara O'Brien, Amanda B. Parrish, Scott Elengold, Kay Lytle, Suresh Balu, Erich Huang, Eric G. Poon, Michael J. Pencina

J. Am. Medical Informatics Assoc., 2022

2021

Enabling counterfactual survival analysis with balanced representations.

Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao

Proceedings of the ACM CHIL '21: ACM Conference on Health, 2021

Understanding Algorithmic Bias in Clinical Prediction Models.

Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

The Project Baseline Health Study: a step towards a broader mission to map human health.

Kristine Arges, Themistocles L. Assimes, Vikram Bajaj, Suresh Balu, Mustafa R. Bashir, Laura Beskow, Rosalia Blanco, Robert M. Califf, Paul Campbell, Larry Carin, Victoria Christian, Scott Cousins, Millie Das, Marie Dockery, Pamela S. Douglas, Ashley Dunham, Julie Eckstrand, Dominik Fleischmann, Emily Ford, Elizabeth Fraulo, John French, Sanjiv S. Gambhir, Geoffrey S. Ginsburg, Robert C. Green, Francois Haddad, Adrian Hernandez, John Hernandez, Erich S. Huang, Glenn Jaffe, Daniel King, Lynne H. Koweek, Curtis P. Langlotz, Yaping J. Liao, Kenneth W. Mahaffey, Kelly Marcom, William J. Marks, David Maron, Reid McCabe, Shannon McCall, Rebecca McCue, Jessica Mega, David Miller, Lawrence H. Muhlbaier, Rajan Munshi, L. Kristin Newby, Ezra Pak-Harvey, Bray Patrick-Lake, Michael J. Pencina, Eric D. Peterson, Fátima Rodriguez, Scarlet Shore, Svati Shah, Steven Shipes, George Sledge, Susie Spielman, Ryan Spitler, Terry Schaack, Geeta Swamy, Martin J. Willemink, Charlene A. Wong

npj Digit. Medicine, 2020

Survival Analysis meets Counterfactual Inference.

Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao

CoRR, 2020

2019

An outcome model approach to transporting a randomized controlled trial results to a target population.

Benjamin Alan Goldstein, Matthew Phelan, Neha J. Pagidipati, Rury R. Holman, Michael J. Pencina, Elizabeth A. Stuart

J. Am. Medical Informatics Assoc., 2019

Informatics-Enabled Learning Health Systems: Strategies for Success from Four Academic Medical Centers.

Eric G. Poon, Charles P. Friedman, Philip R. O. Payne, Michael J. Pencina, Kevin B. Johnson

Proceedings of the AMIA 2019, 2019

2018

Microsimulation model to predict incremental value of biomarkers added to prognostic models.

Karol M. Pencina, Ralph B. D'Agostino, Ramachandran S. Vasan, Michael J. Pencina

J. Am. Medical Informatics Assoc., 2018

The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research.

Shelley A. Rusincovitch, Lisa Wruck, Ricardo Henao, Larisa Rodgers, Allison Dunning, Peter Merrill, Hillary Mulder, Robert Overton, Matthew Phelan, Erich Huang, Lawrence Carin, Michael J. Pencina

Proceedings of the AMIA 2018, 2018

2017

Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus.

Susan E. Spratt, Katherine Pereira, Bradi B. Granger, Bryan C. Batch, Matthew Phelan, Michael J. Pencina, Marie Lynn Miranda, L. Ebony Boulware, Joseph E. Lucas, Charlotte L. Nelson, Benjamin Neely, Benjamin Alan Goldstein, Pamela Barth, Rachel L. Richesson, Isaretta L. Riley, Leonor Corsino, Eugenia R. McPeek Hinz, Shelley A. Rusincovitch, Jennifer Green, Anna Beth Barton, Carly Kelley, Kristen Hyland, Monica Tang, Amanda Elliott, Ewa Ruel, Alexander Clark, Melanie Mabrey, Kay Lyn Morrissey, Jyothi Rao, Beatrice Hong, Marjorie Pierre-Louis, Katherine Kelly, Nicole E. Jelesoff

J. Am. Medical Informatics Assoc., 2017

Predicting mortality over different time horizons: which data elements are needed?

Benjamin Alan Goldstein, Michael J. Pencina, Maria E. Montez-Rath, Wolfgang C. Winkelmayer

J. Am. Medical Informatics Assoc., 2017

Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review.

Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis

J. Am. Medical Informatics Assoc., 2017

Developing a framework for a comprehensive data sharing program.

Asba Tasneem, Karen Chiswell, Brian J. McCourt, Matt Gross, Eric D. Peterson, Michael J. Pencina

Proceedings of the AMIA 2017, 2017

2016

A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges.

Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis

Proceedings of the Summit on Clinical Research Informatics, 2016

2013

Comparison of Operating Characteristics of Commonly Used Sample Size Re-Estimation Procedures in a Two-Stage Design.

Sandeep Menon, Joseph Massaro, Michael J. Pencina, Jerry Lewis, Yong Cheng Wang

Commun. Stat. Simul. Comput., 2013