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Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble
[article]
2023
accepted
Leveraging machine learning techniques for Sepsis early detection and diagnosis has attracted increasing interest in recent years. However, most existing methods require a large amount of labeled training data, which may not be available for a target hospital that deploys a new Sepsis detection system. More seriously, as treated patients are diversified between hospitals, directly applying a model trained on other hospitals may not achieve good performance for the target hospital. To address
doi:10.1109/jbhi.2023.3253208
pmid:37028062
arXiv:2106.10352v2
fatcat:btjk23bz7zesfpbf27jf6xu52a