131 citations · 330 across the 19 of their papers we have counts for
3 papers · 1 filter
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values
Yuxi Liu, Shaowen Qin, Antonio Jimeno Yepes +3
Predicting the health risks of patients using Electronic Health Records (EHR) has attracted considerable attention in recent years, especially with the development of deep learning…
Compound Density Networks for Risk Prediction using Electronic Health Records
Yuxi Liu, Shaowen Qin, Zhenhao Zhang +1
Electronic Health Records (EHRs) exhibit a high amount of missing data due to variations of patient conditions and treatment needs. Imputation of missing values has been considered…
Measuring disentangled generative spatio-temporal representation
Sichen Zhao, Wei Shao, Jeffrey Chan +1
Disentangled representation learning offers useful properties such as dimension reduction and interpretability, which are essential to modern deep learning approaches. Although dee…