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Michael J. Pencina
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2020 – today
- 2024
- [j13]Nicoleta J. Economou-Zavlanos
, Sophia Bessias, Michael P. Cary, Armando Bedoya
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
Trans-Balance: Reducing demographic disparity for prediction models in the presence of class imbalance. J. Biomed. Informatics 149: 104532 (2024) - [c7]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla, Michael J. Pencina, Matthew Engelhard:
Adaptive Discretization for Event PredicTion (ADEPT). AISTATS 2024: 1351-1359 - 2023
- [j11]Chuan Hong
Semi-supervised calibration of noisy event risk (SCANER) with electronic health records. J. Biomed. Informatics 144: 104425 (2023) - [j10]Shauna M. Overgaard
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
Calibration and Uncertainty in Neural Time-to-Event Modeling. IEEE Trans. Neural Networks Learn. Syst. 34(4): 1666-1680 (2023) - [i2]Jimmy Hickey, Ricardo Henao, Daniel Wojdyla
Improving Event Time Prediction by Learning to Partition the Event Time Space. CoRR abs/2310.15853 (2023) - 2022
- [j8]Mengying Yan
Observability and its impact on differential bias for clinical prediction models. J. Am. Medical Informatics Assoc. 29(5): 937-943 (2022) - [j7]Armando Bedoya
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) - 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 - 2020
- [i1]Paidamoyo Chapfuwa
Survival Analysis meets Counterfactual Inference. CoRR abs/2006.07756 (2020)
2010 – 2019
- 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) - [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
- [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) - [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
- [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
Assessing electronic health record phenotypes against gold-standard diagnostic criteria for diabetes mellitus. J. Am. Medical Informatics Assoc. 24(e1): e121-e128 (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 - 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)
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