Data heterogeneity in federated learning with Electronic Health Records: Case studies of risk prediction for acute kidney injury and sepsis diseases in critical care

With the wider availability of healthcare data such as Electronic Health Records (EHR), more and more data-driven based approaches have been proposed to improve the quality-of-care delivery. Predictive modeling, which aims at building computational models for predicting clinical risk, is a popular r...

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Detalles Bibliográficos
Autores principales: Rajendran, Suraj, Xu, Zhenxing, Pan, Weishen, Ghosh, Arnab, Wang, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016691/
https://www.ncbi.nlm.nih.gov/pubmed/36920974
http://dx.doi.org/10.1371/journal.pdig.0000117

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10016691/
https://www.ncbi.nlm.nih.gov/pubmed/36920974
http://dx.doi.org/10.1371/journal.pdig.0000117

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