This paper is in the following e-collection/theme issue:

Machine Learning (1401) Clinical Informatics (919) Electronic Health Records (971)

Published on in Vol 9, No 7 (2021): July

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27527, first published .
Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Relation Classification for Bleeding Events From Electronic Health Records Using Deep Learning Systems: An Empirical Study

Authors of this article:

Avijit Mitra1 Author Orcid Image ;   Bhanu Pratap Singh Rawat1 Author Orcid Image ;   David D McManus2 Author Orcid Image ;   Hong Yu1, 2, 3, 4 Author Orcid Image
Article Authors Cited by (9) Tweetations (4) Metrics

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  2. Lanera C, Baldi I, Francavilla A, Barbieri E, Tramontan L, Scamarcia A, Cantarutti L, Giaquinto C, Gregori D. A Deep Learning Approach to Estimate the Incidence of Infectious Disease Cases for Routinely Collected Ambulatory Records: The Example of Varicella-Zoster. International Journal of Environmental Research and Public Health 2022;19(10):5959 View
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