Leveraging patient similarities via graph neural networks to predict phenotypes from temporal data
Author:
Affiliation:
1. University of Geneva,Geneva,Switzerland
2. University of Geneva & Geneva University Hospitals,Geneva,Switzerland
3. Imperial College London,London,UK
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10302431/10302461/10302556.pdf?arnumber=10302556
Reference78 articles.
1. Deep representation learning of patient data from Electronic Health Records (EHR): A systematic review
2. Understanding cancer complexome using networks, spectral graph theory and multilayer framework;rai;Scientific Reports,2017
3. Comparing neural language models for medical concept representation and patient trajectory prediction;bornet;medRxiv,2023
4. Harmonized representation learning on dynamic EHR graphs
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