322 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
4 papers
Bayesian Optimization of 2D Echocardiography Segmentation
Son-Tung Tran, Joshua V. Stough, Xiaoyan Zhang +1
Bayesian Optimization (BO) is a well-studied hyperparameter tuning technique that is more efficient than grid search for high-cost, high-parameter machine learning problems. Echoca…
Deep neural networks can predict mortality from 12-lead electrocardiogram voltage data
Sushravya Raghunath, Alvaro E. Ulloa Cerna, Linyuan Jing +12
The electrocardiogram (ECG) is a widely-used medical test, typically consisting of 12 voltage versus time traces collected from surface recordings over the heart. Here we hypothesi…
Interpretation of machine learning predictions for patient outcomes in electronic health records
William La Cava, Christopher Bauer, Jason H. Moore +1
Electronic health records are an increasingly important resource for understanding the interactions between patient health, environment, and clinical decisions. In this paper we re…
A deep neural network to enhance prediction of 1-year mortality using echocardiographic videos of the heart
Alvaro Ulloa, Linyuan Jing, Christopher W Good +13
Predicting future clinical events helps physicians guide appropriate intervention. Machine learning has tremendous promise to assist physicians with predictions based on the discov…