Michael Gao

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 17

Top Topics

Predictive Modeling

Sas Enterprise Miner

Phase Transition

Quality Assurance

Top Venues

J. Am. Medical Informatics Assoc.

npj Digit. Medicine

Publications

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)
William Boag, Alifia Hasan, Jee Young Kim, Mike Revoir, Marshall Nichols, William Ratliff, Michael Gao, Shira Zilberstein, Zainab Samad, Zahra Hoodbhoy, Mushyada Ali, Nida Saddaf Khan, Manesh Patel, Suresh Balu, Mark P. Sendak
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. npj Digit. Medicine 7 (1) (2024)
Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. MLHC (2022)
Mark P. Sendak, Gaurav Sirdeshmukh, Timothy Ochoa, Hayley Premo, Linda Tang, Kira Niederhoffer, Sarah Reed, Kaivalya Deshpande, Emily Sterrett, Melissa Bauer, Laurie Snyder, Afreen Shariff, David Whellan, Jeffrey Riggio, David Gaieski, Kristin Corey, Megan Richards, Michael Gao, Marshall Nichols, Bradley Heintze, William Knechtle, William Ratliff, Suresh Balu
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. CoRR (2022)
Aman Kansal, Michael Gao, Suresh Balu, Marshall Nichols, Kristin Corey, Sehj Kashyap, Mark P. Sendak
Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study. Int. J. Medical Informatics 151 (2021)
Mark P. Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O'Brien, Suresh Balu
Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. J. Am. Medical Informatics Assoc. 28 (11) (2021)
Junqi Yin, Zongrui Pei, Michael Gao
Neural network based order parameter for phase transitions and its applications in high-entropy alloys. CoRR (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. AAAI (2021)
Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao
Variational Disentanglement for Rare Event Modeling. CoRR (2020)
Michael Gao, Lindsay Popowski, Jim Boerkoel
Dynamic Control of Probabilistic Simple Temporal Networks. AAAI (2020)
Shyan Akmal, Savana Ammons, Hemeng Li, Michael Gao, Lindsay Popowski, James C. Boerkoel Jr.
Quantifying controllability in temporal networks with uncertainty. Artif. Intell. 289 (2020)
Mark P. Sendak, Michael Gao, Nathan Brajer, Suresh Balu
Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Medicine 3 (2020)
Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien
"The human body is a black box": supporting clinical decision-making with deep learning. FAT* (2020)
Michael Widom, Michael Gao
First Principles Calculation of the Entropy of Liquid Aluminum. Entropy 21 (2) (2019)
Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning. CoRR (2019)
Shelley A. Rusincovitch, Ricardo Henao, Michael Gao, Lawrence Carin, Ursula Rogers, Nigel B. Neely, Mary Schilder, Daniel Costello, Eugenie Komives, Erich Huang
Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population. AMIA (2017)
Eugenie Komives, Shelley A. Rusincovitch, John Paat, Lawrence Carin, Daniel Costello, Michael Gao, Bradley G. Hammill, Ricardo Henao, Nigel B. Neely, Ursula Rogers, Devdutta Sangvai, Mary Schilder, Erich Huang
Guiding Principles for the Duke Connected Care Predictive Modeling Pilot. AMIA (2017)
Seth D. Guikema, Roshanak Nateghi, Steven M. Quiring, Andrea Staid, Allison C. Reilly, Michael Gao
Predicting Hurricane Power Outages to Support Storm Response Planning. IEEE Access 2 (2014)
Michael Gao, Jeremy L. Warner, Peter C. Yang, Gil Alterovitz
Constructing a Novel Cancer Ontology. AMIA (2013)