16 citations · 21 across the 3 of their papers we have counts for
5 papers
Transfer Learning in Electronic Health Records through Clinical Concept Embedding
Jose Roberto Ayala Solares, Yajie Zhu, Abdelaali Hassaine +6
Deep learning models have shown tremendous potential in learning representations, which are able to capture some key properties of the data. This makes them great candidates for tr…
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records
Yikuan Li, Shishir Rao, Abdelaali Hassaine +6
One major impediment to the wider use of deep learning for clinical decision making is the difficulty of assigning a level of confidence to model predictions. Currently, deep Bayes…
BEHRT: Transformer for Electronic Health Records
Yikuan Li, Shishir Rao, Jose Roberto Ayala Solares +5
Today, despite decades of developments in medicine and the growing interest in precision healthcare, vast majority of diagnoses happen once patients begin to show noticeable signs…
Learning Multimorbidity Patterns from Electronic Health Records Using Non-negative Matrix Factorisation
Abdelaali Hassaine, Dexter Canoy, Jose Roberto Ayala Solares +6
Multimorbidity, or the presence of several medical conditions in the same individual, has been increasing in the population, both in absolute and relative terms. However, multimorb…
Performance Measurement for Deep Bayesian Neural Network
Yikuan Li, Yajie Zhu
Deep Bayesian neural network has aroused a great attention in recent years since it combines the benefits of deep neural network and probability theory. Because of this, the networ…