Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data. - Maggie Makar; Marzyeh Ghassemi; David Cutler; Ziad Obermeyer (CoRR, 2017)

Direct Uncertainty Prediction with Applications to Healthcare. - Maithra Raghu; Katy Blumer; Rory Sayres; Ziad Obermeyer; Sendhil Mullainathan; Jon M. Kleinberg (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)

Measuring the Stability of EHR- and EKG-based Predictive Models. - Andrew C. Miller; Ziad Obermeyer; Sendhil Mullainathan (CoRR, 2018)

Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People. - Ziad Obermeyer; Sendhil Mullainathan (FAT, 2019)

Discriminative Regularization for Latent Variable Models with Applications to Electrocardiography. - Andrew C. Miller; Ziad Obermeyer; John P. Cunningham; Sendhil Mullainathan (ICML, 2019)

Direct Uncertainty Prediction for Medical Second Opinions. - Maithra Raghu; Katy Blumer; Rory Sayres; Ziad Obermeyer; Robert D. Kleinberg; Sendhil Mullainathan; Jon M. Kleinberg (ICML, 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)

Characterizing the Value of Information in Medical Notes. - Chao-Chun Hsu; Shantanu Karnwal; Sendhil Mullainathan; Ziad Obermeyer; Chenhao Tan (EMNLP (Findings), 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)

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 (AMIA, 2021)

Clinical Notes Reveal Physician Fatigue. - Chao-Chun Hsu; Ziad Obermeyer; Chenhao Tan (CoRR, 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; et al. (CoRR, 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)

Cognitive bias in clinical large language models. - Arjun Mahajan; Ziad Obermeyer; Roxana Daneshjou; Jenna C. Lester; Dylan Powell (npj Digit. Medicine, 2025)