Publications

M. Daniel Brannock, Robert F. Chew, Alexander J. Preiss, Emily C. Hadley, Signe Redfield, Julie A. McMurry, Peter J. Leese, Andrew T. Girvin, Miles Crosskey, Andrea G. Zhou, Richard A. Moffitt, Michele Jonsson Funk, Emily R. Pfaff, Melissa A. Haendel, Christopher G. Chute (2023). Long COVID risk and pre-COVID vaccination in an EHR-based cohort study from the RECOVER program. Nature Communications.
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Emily Hadley (2023). Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States. 2022 IEEE International Conference on Big Data (Big Data).
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Kasey Jones, Emily Hadley, Sandy Preiss, Eric T. Lofgren, Donald P. Rice, Marie CD Stoner, Sarah Rhea, Joëlla W. Adams (2023). Estimate of undetected severe acute respiratory coronavirus virus 2 (SARS-CoV-2) infection in acute-care hospital settings using an individual-based microsimulation model. Infection Control & Hospital Epidemiology.
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Alexander Preiss, Emily Hadley, Kasey Jones, Marie C. D. Stoner, Caroline Kery, Peter Baumgartner, Georgiy Bobashev, Jessica Tenenbaum, Charles Carter, Kimberly Clement, Sarah Rhea (2022). Incorporation of near-real-time hospital occupancy data to improve hospitalization forecast accuracy during the COVID-19 pandemic. Infectious Disease Modelling.
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Emily Hadley, Sarah Rhea, Kasey Jones, Lei Li, Marie Stoner, Georgiy Bobashev (2022). Enhancing the prediction of hospitalization from a COVID-19 agent-based model: A Bayesian method for model parameter estimation. PLOS ONE.
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Rob Chew, Michael Wenger, Caroline Kery, Jason Nance, Keith Richards, Emily Hadley, Peter Baumgartner (2019). SMART: An Open Source Data Labeling Platform for Supervised Learning. Journal of Machine Learning Research.
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