322 citations · 334 across the 3 of their papers we have counts for
3 papers
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…
A Large-scale Multimodal Study for Predicting Mortality Risk Using Minimal and Low Parameter Models and Separable Risk Assessment
Alvaro E. Ulloa Cerna, Marios Pattichis, David P. vanMaanen +5
The majority of biomedical studies use limited datasets that may not generalize over large heterogeneous datasets that have been collected over several decades. The current paper d…
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…