Ziad Obermeyer

Publication Activity (10 Years)

Years Active: 2017-2023
Publications (10 Years): 15

Top Topics

Predictive Model

Artificial Intelligence

High Prediction Accuracy

Top Venues

npj Digit. Medicine

EMNLP (Findings)

Publications

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 (2023)
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)
Chao-Chun Hsu, Ziad Obermeyer, Chenhao Tan
Clinical Notes Reveal Physician Fatigue. CoRR (2023)
Suchi Saria, Marzyeh Ghassemi, Ziad Obermeyer, Karandeep Singh, Pei-Yun S. Hsueh, Eric Topol
Making Health AI Work in the Real World: Strategies, innovations, and best practices for using AI to improve care delivery. AMIA (2021)
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 (2020)
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
Characterizing the Value of Information in Medical Notes. EMNLP (Findings) (2020)
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan, Ziad Obermeyer, Chenhao Tan
Characterizing the Value of Information in Medical Notes. CoRR (2020)
Andrew C. Miller, Ziad Obermeyer, John P. Cunningham, Sendhil Mullainathan
Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. ICML (2019)
Maithra Raghu, Katy Blumer, Greg Corrado, Jon M. Kleinberg, Ziad Obermeyer, Sendhil Mullainathan
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort. CoRR (2019)
Ziad Obermeyer, Sendhil Mullainathan
Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People. FAT (2019)
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)
Maithra Raghu, Katy Blumer, Rory Sayres, Ziad Obermeyer, Sendhil Mullainathan, Jon M. Kleinberg
Direct Uncertainty Prediction with Applications to Healthcare. CoRR (2018)
Andrew C. Miller, Ziad Obermeyer, David M. Blei, John P. Cunningham, Sendhil Mullainathan
A Probabilistic Model of Cardiac Physiology and Electrocardiograms. CoRR (2018)
Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan
Measuring the Stability of EHR- and EKG-based Predictive Models. CoRR (2018)
Maggie Makar, Marzyeh Ghassemi, David Cutler, Ziad Obermeyer
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. CoRR (2017)