Personalized Federated Graph Learning on Non-IID Electronic Health Records-Reference-Cited by-同舟云学术

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Personalized Federated Graph Learning on Non-IID Electronic Health Records

Published:2024-09 Issue:9 Volume:35 Page:11843-11856
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Tang Tao¹^ORCID,Han Zhuoyang²^ORCID,Cai Zhen¹^ORCID,Yu Shuo³^ORCID,Zhou Xiaokang⁴,Oseni Taiwo¹,Das Sajal K.⁵^ORCID

Affiliation:

1. Institute of Innovation, Science and Sustainability, Federation University Australia, Ballarat, VIC, Australia

2. School of Software Technology, Dalian University of Technology, Dalian, China

3. School of Computer Science and Technology and the Key Laboratory of Social Computing and Cognitive Intelligence, Ministry of Education, Dalian University of Technology, Dalian, China

4. Faculty of Data Science, Shiga University, Hikone, Japan

5. Department of Computer Science, Missouri University of Science and Technology, Rolla, MO, USA

Funder

Dalian Major Projects of Basic Research

“High-level Talent Team” Project of Dalian Science and Technology Talent Innovation Support Policy Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/5962385/10663876/10475550.pdf?arnumber=10475550

Reference53 articles.

1. Graph Learning: A Survey

2. Retraction Note: LSTM Model for Prediction of Heart Failure in Big Data

3. Spatio-temporal Graph Learning for Epidemic Prediction

4. Use of deep learning to develop continuous-risk models for adverse event prediction from electronic health records

5. Conditional Generation Net for Medication Recommendation

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