The large amount of time clinicians spend sifting through patient notes ...
Self-supervised representation learning on image-text data facilitates
c...
Image-text multimodal representation learning aligns data across modalit...
Automated analysis of chest radiography using deep learning has tremendo...
Adoption of machine learning models in healthcare requires end users' tr...
Clinical documentation can be transformed by Electronic Health Records, ...
We propose and demonstrate a representation learning approach by maximiz...
Importance: Alternative methods for hospital utilization forecasting,
es...
We propose and demonstrate a novel machine learning algorithm that asses...
Background: Clinical management decisions for acutely decompensated CHF
...
We present a system that uses a learned autocompletion mechanism to
faci...
Increasingly large electronic health records (EHRs) provide an opportuni...
We propose and demonstrate machine learning algorithms to assess the sev...
Chest radiography is an extremely powerful imaging modality, allowing fo...
We describe a method for parameter estimation in bipartite probabilistic...
We present a semi-supervised learning algorithm for learning discrete fa...