Z. Obermeyer

Zachary F. Meisel, Ziad Obermeyer, David W. Wright, 2018, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Burden of emergency conditions and emergency care usage: new estimates from 40 countries

Ziad Obermeyer, Z. Obermeyer, C. Camargo, 2016, Emergency Medicine Journal.

Characteristics and determinants of high-risk unscheduled return visits to the emergency department

Z. Obermeyer, H. Tamim, M. Makki, 2019, Emergency Medicine Journal.

A machine learning approach to predicting short-term mortality risk for patients starting chemotherapy.

Ravi B. Parikh, Z. Obermeyer, R. Parikh, 2017 .

Data resource profile: Regional healthcare information platform in Halland, Sweden, a dedicated environment for healthcare research.

Z. Obermeyer, P. Anderson, S. Lönn, 2020, International journal of epidemiology.

Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer.

F. Dominici, Z. Obermeyer, D. Cutler, 2014, JAMA.

Bulletin of the World Health Organization

Z. Obermeyer, Stephanie Kayden, S. Abujaber, 2015 .

Emergency Care Use and the Medicare Hospice Benefit for Individuals with Cancer with a Poor Prognosis

Z. Obermeyer, D. Cutler, J. Schuur, 2016, Journal of the American Geriatrics Society.

The Case for Algorithmic Stewardship for Artificial Intelligence and Machine Learning Technologies.

A. Butte, Z. Obermeyer, S. Eaneff, 2020, JAMA.

Early death a ft er discharge from emergency departments: analysis of national US insurance claims data

Z. Obermeyer, D. Cutler, A. Jena, 2020 .

NBER WORKING PAPER SERIES A MACHINE LEARNING APPROACH TO LOW-VALUE HEALTH CARE: WASTED TESTS, MISSED HEART ATTACKS AND MIS-PREDICTIONS

Ziad Obermeyer, Sendhil Mullainathan, Z. Obermeyer, 2019 .

Predicting One-Year Mortality for High-Risk Primary Care Patients Using the “Surprise” Question

Brian W. Powers, Z. Obermeyer, S. Block, 2018 .

Estimating 1-Year Mortality for High-Risk Primary Care Patients Using the "Surprise" Question.

Brian W. Powers, Z. Obermeyer, S. Block, 2016, JAMA internal medicine.

Early death after emergency department discharge in patients with psychiatric illness.

Z. Obermeyer, B. Chang, M. Pany, 2017, The American journal of emergency medicine.

Altered mental status and hypothermia.

Z. Obermeyer, David F.M. Brown, J. Martindale, 2010, The Journal of emergency medicine.

Bipedicle flap for wounds following achilles tendon repair.

Z. Obermeyer, M. Makhlouf, 2008, Plastic and reconstructive surgery.

An algorithmic approach to reducing unexplained pain disparities in underserved populations

E. Pierson, J. Leskovec, Z. Obermeyer, 2021, Nature Medicine.

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

Raul Castro Fernandez, Kyle Chard, Ian Foster, 2020, ArXiv.

Coverage of Cervical Cancer Screening in 57 Countries: Low Average Levels and Large Inequalities

Z. Obermeyer, E. Gakidou, S. Nordhagen, 2008, PLoS medicine.

Individual differences in normal body temperature: longitudinal big data analysis of patient records

Z. Obermeyer, S. Mullainathan, J. Samra, 2017, British Medical Journal.

Physician Characteristics Strongly Predict Patient Enrollment In Hospice.

Brian W. Powers, Z. Obermeyer, N. Keating, 2015, Health affairs.

Algorithmic Stewardship in Health Care-Reply.

A. Butte, Z. Obermeyer, Stephanie Eaneff, 2021, JAMA.

On the Inequity of Predicting A While Hoping for B

Sendhil Mullainathan, Ziad Obermeyer, Z. Obermeyer, 2021 .

Predictive modeling of U.S. health care spending in late life

Sendhil Mullainathan, Liran Einav, Ziad Obermeyer, 2018, Science.

Regulation of predictive analytics in medicine

Ziad Obermeyer, Amol S. Navathe, Ravi B. Parikh, 2019, Science.

The Health Costs of Cost-Sharing

Z. Obermeyer, A. Chandra, Evan Flack, 2021, SSRN Electronic Journal.

WORKING PAPER SERIES THE HEALTH COSTS OF COST-SHARING Amitabh

Z. Obermeyer, Evan Flack, Chandra, 2021 .

Association of Clinical Characteristics With Variation in Emergency Physician Preferences for Patients

Z. Obermeyer, Cindy Y. Chang, 2020, JAMA network open.

A Probabilistic Model of Cardiac Physiology and Electrocardiograms pdf

David M. Blei, John P. Cunningham, Andrew C. Miller, 2018, ArXiv.

Developing metrics for emergency care research in low- and middle-income countries

Z. Obermeyer, Cindy Y. Chang, T. Reynolds, 2016, African Journal of Emergency Medicine.

Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care

Z. Obermeyer, S. Mullainathan, Sendhil Mullainathan, 2019 .

Emergency care in 59 low- and middle-income countries: a systematic review

Z. Obermeyer, L. Wallis, T. Reynolds, 2015, Bulletin of the World Health Organization.

Does Machine Learning Automate Moral Hazard and Error?

Sendhil Mullainathan, Ziad Obermeyer, Z. Obermeyer, 2017, The American economic review.

Acute myocardial infarction hospital admissions and deaths in England: a national follow-back and follow-forward record-linkage study

Z. Obermeyer, M. Ezzati, P. Elliott, 2017, The Lancet. Public health.

Lost in Thought - The Limits of the Human Mind and the Future of Medicine.

Ziad Obermeyer, Z. Obermeyer, Thomas H. Lee, 2017, The New England journal of medicine.

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

Marzyeh Ghassemi, Ziad Obermeyer, Maggie Makar, 2015, International journal of machine learning and computing.

Identification of Emergency Department Visits in Medicare Administrative Claims: Approaches and Implications

Z. Obermeyer, H. Krumholz, E. Spatz, 2017, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

The Emergency Care of Patients With Cancer: Setting the Research Agenda.

Z. Obermeyer, D. Kyriacou, D. Rivera, 2016, Annals of emergency medicine.

Solving medicine’s data bottleneck: Nightingale Open Science

Z. Obermeyer, S. Mullainathan, 2022, Nature Medicine.

Early death after discharge from emergency departments: analysis of national US insurance claims data

Z. Obermeyer, D. Cutler, A. Jena, 2017, British Medical Journal.

Predictors of High-Risk Unscheduled Return Visits to the Pediatric Emergency Department: A Case-Control Study

Z. Obermeyer, H. Tamim, E. Hitti, 2022, Saudi Journal of Emergency Medicine.

Are vital sign abnormalities associated with poor outcomes after emergency department discharge?

Z. Obermeyer, M. Pany, S. Abujaber, 2019, Acute medicine.

Are We Over-Testing? Using Machine Learning to Understand Doctors’ Decisions

Z. Obermeyer, S. Mullainathan, 2018 .

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

Sendhil Mullainathan, Ziad Obermeyer, Z. Obermeyer, 2019, FAT.

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

Jon M. Kleinberg, Gregory S. Corrado, Sendhil Mullainathan, 2019, ArXiv.

The "Surprise Question" Asked of Emergency Physicians May Predict 12-Month Mortality among Older Emergency Department Patients.

Z. Obermeyer, J. Tulsky, S. Block, 2017, Journal of palliative medicine.

Receipt of Medications for Chronic Disease During the First 2 Years of the COVID-19 Pandemic Among Enrollees in Fee-for-Service Medicare

Z. Obermeyer, N. Morden, Weiping Zhou, 2023, JAMA network open.

Research priorities for data collection and management within global acute and emergency care systems.

Z. Obermeyer, M. Hauswald, T. Reynolds, 2013, Academic emergency medicine : official journal of the Society for Academic Emergency Medicine.

Cause-specific risk of hospital admission related to extreme heat in older adults.

Francesca Dominici, Ziad Obermeyer, Jennifer F. Bobb, 2014, JAMA.

Prioritizing Primary Care Patients for a Communication Intervention Using the “Surprise Question”: a Prospective Cohort Study

Brian W. Powers, Z. Obermeyer, C. Vogeli, 2019, Journal of General Internal Medicine.

Direct Uncertainty Prediction for Medical Second Opinions

Jon M. Kleinberg, Robert D. Kleinberg, Sendhil Mullainathan, 2018, ICML.

Group Testing in a Pandemic: The Role of Frequent Testing, Correlated Risk, and Machine Learning

Ao Wang, Ned Augenblick, Ziad Obermeyer, 2020 .

Short-term Outcomes for Medicare Beneficiaries After Low-acuity Visits to Emergency Departments and Clinics

Z. Obermeyer, D. Cutler, Katherine Baicker, 2016, Medical care.

Artificial intelligence, bias, and patients' perspectives

Z. Obermeyer, E. Topol, 2021, The Lancet.

The Potential For Bias In Machine Learning And Opportunities For Health Insurers To Address It.

D. Sontag, Z. Obermeyer, S. Gervasi, 2022, Health affairs.

Pooled testing efficiency increases with test frequency

Z. Obermeyer, Ned Augenblick, J. Kolstad, 2022, Proceedings of the National Academy of Sciences.

A machine-learning algorithm to target COVID testing of travellers

Z. Obermeyer, 2021, Nature.

Characterizing the Value of Information in Medical Notes

Chenhao Tan, Chao-Chun Hsu, Shantanu Karnwal, 2020, FINDINGS.

Predicting the Future - Big Data, Machine Learning, and Clinical Medicine.

Z. Obermeyer, E. Emanuel, 2016, The New England journal of medicine.

Short-term Outcomes for Medicare Beneficiaries After Low-acuity Visits to Emergency Departments and Clinics

Z. Obermeyer, D. Cutler, Katherine Baicker, 2016, Medical Care.

Developing metrics for emergency care research in low- and middle-income countries

Z. Obermeyer, Cindy Y. Chang, T. Reynolds, 2016, African Journal of Emergency Medicine.

Association between the Medicare hospice benefit and health care utilization and costs for patients with poor-prognosis cancer.

F. Dominici, Z. Obermeyer, D. Cutler, 2014, JAMA.

Emergency Care Use and the Medicare Hospice Benefit for Individuals with Cancer with a Poor Prognosis

Z. Obermeyer, D. Cutler, J. Schuur, 2016, Journal of the American Geriatrics Society.

Cost savings associated with expanded hospice use in Medicare.

Brian W. Powers, Z. Obermeyer, Sachin H. Jain, 2015, Journal of palliative medicine.

Diagnosing Physician Error: A Machine Learning Approach to Low-Value Health Care

Z. Obermeyer, S. Mullainathan, 2019 .

An Economic Approach to Machine Learning in Health Policy

Suproteem K. Sarkar, Z. Obermeyer, S. Mullainathan, 2022, SSRN Electronic Journal.

Variation in common laboratory test results caused by ambient temperature.

Z. Obermeyer, Devin Pope, 2021, Med.

Race Corrections in Clinical Models: Examining Family History and Cancer Risk

E. Pierson, Z. Obermeyer, A. Zink, 2023, medRxiv.

Adoption of Artificial Intelligence and Machine Learning Is Increasing, but Irrational Exuberance Remains

Ziad Obermeyer, James Neil Weinstein, Z. Obermeyer, 2020, NEJM Catalyst.

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

Andrew C. Miller, Sendhil Mullainathan, Ziad Obermeyer, 2018, ArXiv.

A Comparison of Patient History- and EKG-based Cardiac Risk Scores.

Andrew C. Miller, Sendhil Mullainathan, Ziad Obermeyer, 2019, AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science.