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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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שמור ב:
מידע ביבליוגרפי
הוצא לאור ב:JMIR Med Inform
Main Authors: Li, Rumeng, Hu, Baotian, Liu, Feifan, Liu, Weisong, Cunningham, Francesca, McManus, David D, Yu, Hong
פורמט: Artigo
שפה:Inglês
יצא לאור: JMIR Publications 2019
נושאים:
גישה מקוונת:https://ncbi.nlm.nih.gov/pmc/articles/PMC6384542/
https://ncbi.nlm.nih.gov/pubmed/30735140
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2196/10788
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