| Level
|
Master +
|
| OneLineSummary
|
Modeling Electronic Health Record (EHR) data and predict future events for specific patients +
|
| References
|
Attention is all you need: https://arxiv.o … Attention is all you need: https://arxiv.org/abs/1706.03762
Bert: Pre-training of deep bidirectional transformers for language understanding: https://arxiv.org/abs/1810.04805
BEHRT: transformer for electronic health records: https://www.nature.com/articles/s41598-020-62922-y
MIMO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning: https://arxiv.org/abs/2107.09288
Heterogeneous Similarity Graph Neural Network on Electronic Health Records: https://arxiv.org/abs/2101.06800
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer: https://arxiv.org/abs/1906.04716
Variationally Regularized Graph-based Representation Learning for Electronic Health Records: https://arxiv.org/pdf/1912.03761.pdfords: https://arxiv.org/pdf/1912.03761.pdf
|
| StudentProjectStatus
|
Open +
|
| Supervisors
|
Stefan Byttner +
, Kobra Etminani +
, Amira Soliman +
|
| Title
|
Modeling patient trajectories using different representation learning techniques +
|
| Categories |
StudentProject +
|
| Modification dateThis property is a special property in this wiki.
|
12 October 2021 08:23:46 +
|
