Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

Generating synthetic mixed-type longitudinal electronic health records for artificial intelligent applications

<p>The recent availability of electronic health records (EHRs) have provided enormous opportunities to develop artificial intelligence (AI) algorithms. However, patient privacy has become a major concern that limits data sharing across hospital settings and subsequently hinders the advances in...

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Bibliografiske detaljer
Main Authors:	Li, J, Cairns, BJ, Zhu, T
Format:	Journal article
Sprog:	English
Udgivet:	Springer Nature 2023

Lignende værker

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