58 citations · 110 across the 8 of their papers we have counts for
8 papers
Using large language models to promote health equity
Emma Pierson, Divya Shanmugam, Rajiv Movva +12
Advances in large language models (LLMs) have driven an explosion of interest about their societal impacts. Much of the discourse around how they will impact social equity has been…
Characterizing the Value of Information in Medical Notes
Chao-Chun Hsu, Shantanu Karnwal, Sendhil Mullainathan +2
Machine learning models depend on the quality of input data. As electronic health records are widely adopted, the amount of data in health care is growing, along with complaints ab…
The Data Station: Combining Data, Compute, and Market Forces
Raul Castro Fernandez, Kyle Chard, Ben Blaiszik +7
This paper introduces Data Stations, a new data architecture that we are designing to tackle some of the most challenging data problems that we face today: access to sensitive data…
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
Maithra Raghu, Katy Blumer, Greg Corrado +3
In a wide array of areas, algorithms are matching and surpassing the performance of human experts, leading to consideration of the roles of human judgment and algorithmic predictio…
Measuring the Stability of EHR- and EKG-based Predictive Models
Andrew C. Miller, Ziad Obermeyer, Sendhil Mullainathan
Databases of electronic health records (EHRs) are increasingly used to inform clinical decisions. Machine learning methods can find patterns in EHRs that are predictive of future a…
A Probabilistic Model of Cardiac Physiology and Electrocardiograms
Andrew C. Miller, Ziad Obermeyer, David M. Blei +2
An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart. EKGs contain useful diagnostic information about patient healt…
Direct Uncertainty Prediction for Medical Second Opinions
Maithra Raghu, Katy Blumer, Rory Sayres +4
The issue of disagreements amongst human experts is a ubiquitous one in both machine learning and medicine. In medicine, this often corresponds to doctor disagreements on a patient…
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data
Maggie Makar, Marzyeh Ghassemi, David Cutler +1
Risk prediction is central to both clinical medicine and public health. While many machine learning models have been developed to predict mortality, they are rarely applied in the…