research
∙
07/27/2023
Identifying acute illness phenotypes via deep temporal interpolation and clustering network on physiologic signatures
Initial hours of hospital admission impact clinical trajectory, but earl...
share
research
∙
03/09/2023
Computable Phenotypes to Characterize Changing Patient Brain Dysfunction in the Intensive Care Unit
In the United States, more than 5 million patients are admitted annually...
research
∙
04/27/2020
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Background: During the early stages of hospital admission, clinicians mu...
research
∙
04/27/2020
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications
Accurate prediction of postoperative complications can inform shared dec...
research
∙
10/28/2019
Added Value of Intraoperative Data for Predicting Postoperative Complications: Development and Validation of a MySurgeryRisk Extension
To test the hypothesis that accuracy, discrimination, and precision in p...
research
∙
02/28/2018