Ziad Obermeyer

According to our database, Ziad Obermeyer authored at least 14 papers between 2017 and 2023.

Collaborative distances:

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

2023

Considerations for addressing bias in artificial intelligence for health equity.

Michael D. Abràmoff, Michelle E. Tarver, Nilsa Loyo-Berrios, Sylvia Trujillo, Danton Char, Ziad Obermeyer, Malvina B. Eydelman, William H. Maisel

npj Digit. Medicine, 2023

Use large language models to promote equity.

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

CoRR, 2023

Clinical Notes Reveal Physician Fatigue.

Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan

CoRR, 2023

2021

Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery.

Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric J. Topol

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

The Data Station: Combining Data, Compute, and Market Forces.

Raul Castro Fernandez, Kyle Chard, Ben Blaiszik, Sanjay Krishnan, Aaron J. Elmore, Ziad Obermeyer, Josh Risley, Sendhil Mullainathan, Michael J. Franklin, Ian T. Foster

CoRR, 2020

Characterizing the Value of Information in Medical Notes.

Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

The Algorithmic Automation Problem: Prediction, Triage, and Human Effort.

Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan

CoRR, 2019

Direct Uncertainty Prediction for Medical Second Opinions.

Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Robert D. Kleinberg, Sendhil Mullainathan, Jon M. Kleinberg

Proceedings of the 36th International Conference on Machine Learning, 2019

Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography.

Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, Sendhil Mullainathan

Proceedings of the 36th International Conference on Machine Learning, 2019

Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People.

Ziad Obermeyer, Sendhil Mullainathan

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

Measuring the Stability of EHR- and EKG-based Predictive Models.

Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan

CoRR, 2018

A Probabilistic Model of Cardiac Physiology and Electrocardiograms.

Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan

CoRR, 2018

Direct Uncertainty Prediction with Applications to Healthcare.

Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg

CoRR, 2018

2017

Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data.

Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer

CoRR, 2017