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Found 8 papers, 6 papers with code
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Deep learning models exhibit state-of-the-art performance for many predictive healthcare tasks using electronic health records (EHR) data, but these models typically require training data volume that exceeds the capacity of most healthcare systems.
SUSTain: Scalable Unsupervised Scoring for Tensors and its Application to Phenotyping
We propose two variants, SUSTain_M and SUSTain_T, to handle both matrix and tensor inputs, respectively.
Generating Multi-label Discrete Patient Records using Generative Adversarial Networks
Access to electronic health record (EHR) data has motivated computational advances in medical research.
Causal Regularization
In application domains such as healthcare, we want accurate predictive models that are also causally interpretable.
GRAM: Graph-based Attention Model for Healthcare Representation Learning
-Interpretation:The representations learned by deep learning methods should align with medical knowledge.
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
RETAIN was tested on a large health system EHR dataset with 14 million visits completed by 263K patients over an 8 year period and demonstrated predictive accuracy and computational scalability comparable to state-of-the-art methods such as RNN, and ease of interpretability comparable to traditional models.
Ranked #2 on
Disease Trajectory Forecasting
on UK CF trust
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction
Objective: To transform heterogeneous clinical data from electronic health records into clinically meaningful constructed features using data driven method that rely, in part, on temporal relations among data.
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Leveraging large historical data in electronic health record (EHR), we developed Doctor AI, a generic predictive model that covers observed medical conditions and medication uses.
