432 citations · 599 across the 16 of their papers we have counts for
4 papers · 1 filter
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…
Simplicity Creates Inequity: Implications for Fairness, Stereotypes, and Interpretability
Jon Kleinberg, Sendhil Mullainathan
Algorithms are increasingly used to aid, or in some cases supplant, human decision-making, particularly for decisions that hinge on predictions. As a result, two additional feature…
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…