Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach

BACKGROUND: Bleeding events are common and critical and may cause significant morbidity and mortality. High incidences of bleeding events are associated with cardiovascular disease in patients on anticoagulant therapy. Prompt and accurate detection of bleeding events is essential to prevent serious...

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Detalles Bibliográficos
Autores principales: Li, Rumeng, Hu, Baotian, Liu, Feifan, Liu, Weisong, Cunningham, Francesca, McManus, David D, Yu, Hong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2019
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384542/
https://www.ncbi.nlm.nih.gov/pubmed/30735140
http://dx.doi.org/10.2196/10788

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6384542/
https://www.ncbi.nlm.nih.gov/pubmed/30735140
http://dx.doi.org/10.2196/10788

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