Generalizing to new populations and domains in machine learning is still...
The development of respiratory failure is common among patients in inten...
A collection of the accepted abstracts for the Machine Learning for Heal...
Private learning algorithms have been proposed that ensure strong
differ...
The recent adoption of Electronic Health Records (EHRs) by health care
p...
Intensive care clinicians are presented with large quantities of patient...
In this work, we investigate unsupervised representation learning on med...
Generative Adversarial Networks (GANs) have shown remarkable success as ...
We present an automatic mortality prediction scheme based on the unstruc...
A major challenge in the training of recurrent neural networks is the
so...
Identifying relationships between concepts is a key aspect of scientific...
Neural language models are a powerful tool to embed words into semantic
...