Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values-Reference-Cited by-同舟云学术

Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values

Published:2022-12-06 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
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Author:

Liu Yuxi¹,Qin Shaowen¹,Yepes Antonio Jimeno²,Shao Wei³,Zhang Zhenhao⁴,Salim Flora D.⁵

Affiliation:

1. Flinders University,College of Science and Engineering,Adelaide,SA,Australia

2. RMIT University,School of Computing Technologies,Melbourne,Victoria,Australia

3. UC Davis,College of Electrical and Computer Engineering,Davis California,CA,USA

4. Northwest A&F University,College of Life Sciences,Yangling,Shaanxi,China

5. UNSW,School of Computer Science and Engineering,Sydney,NSW,Australia

Publisher

IEEE

Link

Reference32 articles.

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