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

BACKGROUND: Accurate detection of bleeding events from electronic health records (EHRs) is crucial for identifying and characterizing different common and serious medical problems. To extract such information from EHRs, it is essential to identify the relations between bleeding events and related cl...

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Detalles Bibliográficos
Autores principales: Mitra, Avijit, Rawat, Bhanu Pratap Singh, McManus, David D, Yu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285744/
https://www.ncbi.nlm.nih.gov/pubmed/34255697
http://dx.doi.org/10.2196/27527

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285744/
https://www.ncbi.nlm.nih.gov/pubmed/34255697
http://dx.doi.org/10.2196/27527

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