RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks-Reference-Cited by-同舟云学术

RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks

Published:2022-09-27 Issue: Volume: Page:
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Container-title:2022 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)
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Author:

Ramchand Suraj¹,Tsang Gavin¹,Cole Duncan²,Xie Xianghua¹

Affiliation:

1. Computer Science, Swansea University,Swansea,United Kingdom

2. School of Medicine, Cardiff University,Cardiff,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9926747/9926739/09926906.pdf?arnumber=9926906

Reference20 articles.

1. Doctor ai: Predicting clinical events via recurrent neural networks;choi;CoRR,2015

2. Retain: An interpretable predictive model for healthcare using reverse time attention mechanism;choi;Proceedings of the 30th International Conference on Neural Information Processing Systems ser NIPS'16,2016

3. RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records

4. The SAIL databank: linking multiple health and social care datasets

5. Patient Subtyping via Time-Aware LSTM Networks

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