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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...
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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...
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04/27/2020
Application of Deep Interpolation Network for Clustering of Physiologic Time Series
Background: During the early stages of hospital admission, clinicians mu...
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04/27/2020
Interpretable Multi-Task Deep Neural Networks for Dynamic Predictions of Postoperative Complications
Accurate prediction of postoperative complications can inform shared dec...
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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...
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02/28/2018
