Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach-Reference-Cited by-同舟云学术

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

Published:2019-02-08 Issue:1 Volume:7 Page:e10788
ISSN:2291-9694
Container-title:JMIR Medical Informatics
language:en
Short-container-title:JMIR Med Inform

Author:

Li Rumeng^ORCID,Hu Baotian^ORCID,Liu Feifan^ORCID,Liu Weisong^ORCID,Cunningham Francesca^ORCID,McManus David D^ORCID,Yu Hong^ORCID

Publisher

JMIR Publications Inc.

Subject

Health Information Management,Health Informatics

Reference45 articles.

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2. Heart Disease and Stroke Statistics—2017 Update: A Report From the American Heart Association

3. Clinical Impact of Bleeding in Patients Taking Oral Anticoagulant Therapy for Venous Thromboembolism

4. The impact of bleeding complications in patients receiving target-specific oral anticoagulants: a systematic review and meta-analysis

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