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10/07/2020
Characterizing the Value of Information in Medical Notes
Machine learning models depend on the quality of input data. As electron...
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08/31/2020
The Data Station: Combining Data, Compute, and Market Forces
This paper introduces Data Stations, a new data architecture that we are...
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03/28/2019
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
In a wide array of areas, algorithms are matching and surpassing the per...
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12/01/2018
Measuring the Stability of EHR- and EKG-based Predictive Models
Databases of electronic health records (EHRs) are increasingly used to i...
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12/01/2018
A Probabilistic Model of Cardiac Physiology and Electrocardiograms
An electrocardiogram (EKG) is a common, non-invasive test that measures ...
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07/04/2018
Direct Uncertainty Prediction with Applications to Healthcare
Large labeled datasets for supervised learning are frequently constructe...
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12/02/2017