Michael J. Pencina

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 21

Top Topics

Class Imbalance

Prediction Model

Diabetes Mellitus

Top Venues

J. Am. Medical Informatics Assoc.

J. Biomed. Informatics

Publications

Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard
Adaptive Discretization for Event PredicTion (ADEPT). AISTATS (2024)
Chuan Hong, Molei Liu, Daniel Wojdyla, Jimmy Hickey, Michael J. Pencina, Ricardo Henao
Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J. Biomed. Informatics 149 (2024)
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
Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare. J. Am. Medical Informatics Assoc. 31 (3) (2024)
Shauna M. Overgaard, Megan G. Graham, Tracey Brereton, Michael J. Pencina, John D. Halamka, David E. Vidal, Nicoleta J. Economou-Zavlanos
Implementing quality management systems to close the AI translation gap and facilitate safe, ethical, and effective health AI solutions. npj Digit. Medicine 6 (2023)
Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew M. Engelhard
Improving Event Time Prediction by Learning to Partition the Event Time Space. CoRR (2023)
Paidamoyo Chapfuwa, Chenyang Tao, Chunyuan Li, Irfan Khan, Karen Chandross, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34 (4) (2023)
Chuan Hong, Liang Liang, Qianyu Yuan, Kelly Cho, Katherine P. Liao, Michael J. Pencina, David C. Christiani, Tianxi Cai
Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. J. Biomed. Informatics 144 (2023)
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
A framework for the oversight and local deployment of safe and high-quality prediction models. J. Am. Medical Informatics Assoc. 29 (9) (2022)
Mengying Yan, Michael J. Pencina, L. Ebony Boulware, Benjamin Alan Goldstein
Observability and its impact on differential bias for clinical prediction models. J. Am. Medical Informatics Assoc. 29 (5) (2022)
Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein
Understanding Algorithmic Bias in Clinical Prediction Models. AMIA (2021)
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Enabling counterfactual survival analysis with balanced representations. CHIL (2021)
Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao
Survival Analysis meets Counterfactual Inference. CoRR (2020)
Eric G. Poon, Charles P. Friedman, Philip R. O. Payne, Michael J. Pencina, Kevin B. Johnson
Informatics-Enabled Learning Health Systems: Strategies for Success from Four Academic Medical Centers. AMIA (2019)
Benjamin Alan Goldstein, Matthew Phelan, Neha J. Pagidipati, Rury R. Holman, Michael J. Pencina, Elizabeth A. Stuart
An outcome model approach to transporting a randomized controlled trial results to a target population. J. Am. Medical Informatics Assoc. 26 (5) (2019)
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
The Duke Health Data Science Internship Program: Integrating the Educational Mission into Real-World Research. AMIA (2018)
Karol M. Pencina, Ralph B. D'Agostino, Ramachandran S. Vasan, Michael J. Pencina
Microsimulation model to predict incremental value of biomarkers added to prognostic models. J. Am. Medical Informatics Assoc. 25 (10) (2018)
Asba Tasneem, Karen Chiswell, Brian J. McCourt, Matt Gross, Eric Peterson, Michael J. Pencina
Developing a framework for a comprehensive data sharing program. AMIA (2017)
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
Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. J. Am. Medical Informatics Assoc. 24 (e1) (2017)
Benjamin Alan Goldstein, Michael J. Pencina, Maria E. Montez-Rath, Wolfgang C. Winkelmayer
Predicting mortality over different time horizons: which data elements are needed? J. Am. Medical Informatics Assoc. 24 (1) (2017)
Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
Opportunities and challenges in developing risk prediction models with electronic health records data: a systematic review. J. Am. Medical Informatics Assoc. 24 (1) (2017)
Benjamin Alan Goldstein, Ann Marie Navar, Michael J. Pencina, John P. A. Ioannidis
A Systematic Review of Using Electronic Heath Records to Predict Clinical Events: Assessment of Opportunities and Challenges. CRI (2016)
Sandeep Menon, Joseph Massaro, Michael J. Pencina, Jerry Lewis, Yong Cheng Wang
Comparison of Operating Characteristics of Commonly Used Sample Size Re-Estimation Procedures in a Two-Stage Design. Commun. Stat. Simul. Comput. 42 (5) (2013)