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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...

詳細記述

保存先:
書誌詳細
出版年:JMIR Med Inform
主要な著者: Huang, Yingxiang, Lee, Junghye, Wang, Shuang, Sun, Jimeng, Liu, Hongfang, Jiang, Xiaoqian
フォーマット: Artigo
言語:Inglês
出版事項: JMIR Publications 2018
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC5981054/
https://ncbi.nlm.nih.gov/pubmed/29769172
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/medinform.9455
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