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Michael J. Pencina
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Journal Articles
- 2024
- [j13]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): 705-713 (2024) - [j12]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: 104532 (2024) - 2023
- [j11]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: 104425 (2023) - [j10]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) - [j9]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): 1666-1680 (2023) - 2022
- [j8]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): 937-943 (2022) - [j7]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): 1631-1636 (2022) - 2019
- [j6]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): 429-437 (2019) - 2018
- [j5]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): 1382-1385 (2018) - 2017
- [j4]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): 176-181 (2017) - [j3]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): 198-208 (2017) - [j2]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): e121-e128 (2017) - 2013
- [j1]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): 1140-1152 (2013)
Conference and Workshop Papers
- 2024
- [c7]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard:
Adaptive Discretization for Event PredicTion (ADEPT). AISTATS 2024: 1351-1359 - 2021
- [c6]Mengying Yan, Michael J. Pencina, Benjamin Alan Goldstein:
Understanding Algorithmic Bias in Clinical Prediction Models. AMIA 2021 - [c5]Paidamoyo Chapfuwa, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Enabling counterfactual survival analysis with balanced representations. CHIL 2021: 133-145 - 2019
- [c4]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 - 2018
- [c3]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 - 2017
- [c2]Asba Tasneem, Karen Chiswell, Brian J. McCourt, Matt Gross, Eric D. Peterson, Michael J. Pencina:
Developing a framework for a comprehensive data sharing program. AMIA 2017 - 2016
- [c1]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
Informal and Other Publications
- 2023
- [i2]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 abs/2310.15853 (2023) - 2020
- [i1]Paidamoyo Chapfuwa
, Serge Assaad, Shuxi Zeng, Michael J. Pencina, Lawrence Carin, Ricardo Henao:
Survival Analysis meets Counterfactual Inference. CoRR abs/2006.07756 (2020)
Coauthor Index
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last updated on 2024-06-10 20:26 CEST by the dblp team
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