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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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06/30/2023
Transformers in Healthcare: A Survey
With Artificial Intelligence (AI) increasingly permeating various aspect...
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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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11/09/2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
Recent deep learning research based on Transformer model architectures h...
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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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04/27/2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data
Deep learning continues to revolutionize an ever-growing number of criti...
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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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09/16/2019
Automatic Detection and Classification of Cognitive Distortions in Mental Health Text
In cognitive psychology, automatic and self-reinforcing irrational thoug...
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04/25/2018
The Intelligent ICU Pilot Study: Using Artificial Intelligence Technology for Autonomous Patient Monitoring
Currently, many critical care indices are repetitively assessed and reco...
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02/28/2018
DeepSOFA: A Real-Time Continuous Acuity Score Framework using Deep Learning
Traditional methods for assessing illness severity and predicting in-hos...
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08/04/2017
Hashtag Healthcare: From Tweets to Mental Health Journals Using Deep Transfer Learning
As the popularity of social media platforms continues to rise, an ever-i...
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06/12/2017