Michael Gao

According to our database, Michael Gao authored at least 14 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

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

J. Am. Medical Informatics Assoc., February, 2024

The algorithm journey map: a tangible approach to implementing AI solutions in healthcare.

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

npj Digit. Medicine, 2024

2022

Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare.

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

Proceedings of the Machine Learning for Healthcare Conference, 2022

2021

Looking for clinician involvement under the wrong lamp post: The need for collaboration measures.

Mark P. Sendak, Michael Gao, William Ratliff, Marshall Nichols, Armando Bedoya, Cara O'Brien, Suresh Balu

J. Am. Medical Informatics Assoc., 2021

Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study.

Aman Kansal, Michael Gao, Suresh Balu, Marshall Nichols, Kristin Corey, Sehj Kashyap, Mark P. Sendak

Int. J. Medical Informatics, 2021

Variational Disentanglement for Rare Event Modeling.

Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Presenting machine learning model information to clinical end users with model facts labels.

Mark P. Sendak, Michael Gao, Nathan Brajer, Suresh Balu

npj Digit. Medicine, 2020

Quantifying controllability in temporal networks with uncertainty.

Shyan Akmal, Savana Ammons, Hemeng Li, Michael Gao, Lindsay Popowski, James C. Boerkoel Jr.

Artif. Intell., 2020

"The human body is a black box": supporting clinical decision-making with deep learning.

Mark P. Sendak, Madeleine Clare Elish, Michael Gao, Joseph Futoma, William Ratliff, Marshall Nichols, Armando Bedoya, Suresh Balu, Cara O'Brien

Proceedings of the FAT* '20: Conference on Fairness, 2020

Dynamic Control of Probabilistic Simple Temporal Networks.

Michael Gao, Lindsay Popowski, Jim Boerkoel

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

First Principles Calculation of the Entropy of Liquid Aluminum.

Michael Widom, Michael Gao

Entropy, 2019

2017

Rationale and Design for the Duke Connected Care Predictive Modeling Pilot with a Medicare Shared Savings Program Population.

Shelley A. Rusincovitch, Ricardo Henao, Michael Gao, Lawrence Carin, Ursula Rogers, Nigel B. Neely, Mary Schilder, Daniel Costello, Eugenie Komives, Erich Huang

Proceedings of the AMIA 2017, 2017

Guiding Principles for the Duke Connected Care Predictive Modeling Pilot.

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

Proceedings of the AMIA 2017, 2017

2014

Predicting Hurricane Power Outages to Support Storm Response Planning.

Seth D. Guikema, Roshanak Nateghi, Steven M. Quiring, Andrea Staid, Allison C. Reilly, Michael Gao

IEEE Access, 2014