58 citations · 60 across the 3 of their papers we have counts for
3 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…
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…