Privacy-Preserving Predictive Modeling: Harmonization of Contextual Embeddings From Different Sources

BACKGROUND: Data sharing has been a big challenge in biomedical informatics because of privacy concerns. Contextual embedding models have demonstrated a very strong representative capability to describe medical concepts (and their context), and they have shown promise as an alternative way to suppor...

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Detalles Bibliográficos
Autores principales: Huang, Yingxiang, Lee, Junghye, Wang, Shuang, Sun, Jimeng, Liu, Hongfang, Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2018
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981054/
https://www.ncbi.nlm.nih.gov/pubmed/29769172
http://dx.doi.org/10.2196/medinform.9455

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5981054/
https://www.ncbi.nlm.nih.gov/pubmed/29769172
http://dx.doi.org/10.2196/medinform.9455

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