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ORCIDZiad Obermeyer
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- affiliation: University of California, Berkeley, CA, USA
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2020 – today
- 2023
[j1]Michael D. Abràmoff
, Michelle E. Tarver, Nilsa Loyo-Berrios, Sylvia Trujillo, Danton Char, Ziad Obermeyer, Malvina B. Eydelman, William H. Maisel:
Considerations for addressing bias in artificial intelligence for health equity. npj Digit. Medicine 6 (2023)- [i9]Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan:
Clinical Notes Reveal Physician Fatigue. CoRR abs/2312.03077 (2023) - [i8]Emma Pierson, Divya Shanmugam, Rajiv Movva, Jon M. Kleinberg, Monica Agrawal, Mark Dredze, Kadija Ferryman, Judy Wawira Gichoya, Dan Jurafsky, Pang Wei Koh, Karen Levy, Sendhil Mullainathan, Ziad Obermeyer, Harini Suresh, Keyon Vafa:
Use large language models to promote equity. CoRR abs/2312.14804 (2023) - 2021
- [c5]Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric J. Topol:
Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. AMIA 2021 - 2020
- [c4]Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan:
Characterizing the Value of Information in Medical Notes. EMNLP (Findings) 2020: 2062-2072 - [i7]Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster:
The Data Station: Combining Data, Compute, and Market Forces. CoRR abs/2009.00035 (2020) - [i6]Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan:
Characterizing the Value of Information in Medical Notes. CoRR abs/2010.03574 (2020)
2010 – 2019
- 2019
- [c3]Ziad Obermeyer, Sendhil Mullainathan:
Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People. FAT 2019: 89 - [c2]Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, Sendhil Mullainathan:
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. ICML 2019: 4585-4594 - [c1]Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert D. Kleinberg, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction for Medical Second Opinions. ICML 2019: 5281-5290 - [i5]Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan:
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR abs/1903.12220 (2019) - 2018
- [i4]Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg:
Direct Uncertainty Prediction with Applications to Healthcare. CoRR abs/1807.01771 (2018) - [i3]Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan:
A Probabilistic Model of Cardiac Physiology and Electrocardiograms. CoRR abs/1812.00209 (2018) - [i2]Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan:
Measuring the Stability of EHR- and EKG-based Predictive Models. CoRR abs/1812.00210 (2018) - 2017
- [i1]Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer:
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. CoRR abs/1712.00644 (2017)
Coauthor Index
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