ExBEHRT: Extended Transformer for Electronic Health Records

Author:

Rupp Maurice,Peter Oriane,Pattipaka Thirupathi

Publisher

Springer Nature Switzerland

Reference16 articles.

1. Azhir, A., et al.: Behrtday: Dynamic mortality risk prediction using time-variant COVID-19 patient specific trajectories. In: AMIA Annual Symposium Proceedings (2022)

2. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);RJGB Campello,2013

3. Erion, G., Janizek, J.D., Sturmfels, P., Lundberg, S.M., Lee, S.I., Allen, P.G.: Improving performance of deep learning models with axiomatic attribution priors and expected gradients. Nature 3, 620–631 (2020)

4. Kalyan, K.S., Rajasekharan, A., Sangeetha, S.: AMMU: a survey of transformer-based biomedical pretrained language models. J. Biomed. Inf. 126, 103982 (2022)

5. Lee, J., et al.: BioBERT: a pre-trained biomedical language representation model for biomedical text mining. Bioinformatics 36, 1234–1240 (2019)

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