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Found 7 papers, 2 papers with code
Clinical Notes Reveal Physician Fatigue
Finally, the model indicates that notes written about Black and Hispanic patients have 12% and 21% higher predicted fatigue than Whites -- larger than overnight vs. daytime differences.
Characterizing the Value of Information in Medical Notes
Machine learning models depend on the quality of input data.
The Algorithmic Automation Problem: Prediction, Triage, and Human Effort
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 prediction in these domains.
A Probabilistic Model of Cardiac Physiology and Electrocardiograms
An electrocardiogram (EKG) is a common, non-invasive test that measures the electrical activity of a patient's heart.
Measuring the Stability of EHR- and EKG-based Predictive Models
In a predictive task, we show that EKG-based models can be more stable than EHR-based models across different patient populations.
Direct Uncertainty Prediction for Medical Second Opinions
Our central methodological finding is that Direct Uncertainty Prediction (DUP), training a model to predict an uncertainty score directly from the raw patient features, works better than Uncertainty Via Classification, the two-step process of training a classifier and postprocessing the output distribution to give an uncertainty score.
Short-term Mortality Prediction for Elderly Patients Using Medicare Claims Data
Risk prediction is central to both clinical medicine and public health.
