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Michael Gao
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2020 – today
- 2024
- [j8]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) - [j7]William Boag, Alifia Hasan
The algorithm journey map: a tangible approach to implementing AI solutions in healthcare. npj Digit. Medicine 7(1) (2024) - 2022
- [c6]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: 741-759 - [i3]Mark P. Sendak
Development and Validation of ML-DQA - a Machine Learning Data Quality Assurance Framework for Healthcare. CoRR abs/2208.02670 (2022) - 2021
- [j6]Aman Kansal
Impact of diagnosis code grouping method on clinical prediction model performance: A multi-site retrospective observational study. Int. J. Medical Informatics 151: 104466 (2021) - [j5]Mark P. Sendak
Looking for clinician involvement under the wrong lamp post: The need for collaboration measures. J. Am. Medical Informatics Assoc. 28(11): 2541-2542 (2021) - [c5]Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. AAAI 2021: 10469-10477 - 2020
- [j4]Shyan Akmal
Quantifying controllability in temporal networks with uncertainty. Artif. Intell. 289: 103384 (2020) - [j3]Mark P. Sendak
Presenting machine learning model information to clinical end users with model facts labels. npj Digit. Medicine 3 (2020) - [c4]Michael Gao, Lindsay Popowski
Dynamic Control of Probabilistic Simple Temporal Networks. AAAI 2020: 9851-9858 - [c3]Mark P. Sendak
"The human body is a black box": supporting clinical decision-making with deep learning. FAT* 2020: 99-109 - [i2]Zidi Xiu, Chenyang Tao, Michael Gao, Connor Davis, Benjamin Alan Goldstein, Ricardo Henao:
Variational Disentanglement for Rare Event Modeling. CoRR abs/2009.08541 (2020)
2010 – 2019
- 2019
- [j2]Michael Widom, Michael Gao:
First Principles Calculation of the Entropy of Liquid Aluminum. Entropy 21(2): 131 (2019) - [i1]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 abs/1911.08089 (2019) - 2017
- [c2]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 - [c1]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 - 2014
- [j1]Seth D. Guikema, Roshanak Nateghi, Steven M. Quiring
Predicting Hurricane Power Outages to Support Storm Response Planning. IEEE Access 2: 1364-1373 (2014)
Coauthor Index
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last updated on 2024-10-07 21:25 CEST by the dblp team
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