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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
Research article (JMIR Medical Informatics, 2018) · cited 55× · AI/ML
Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach
Summary
Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach is a scholarly article[1].
Key Facts
Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/detection-of-bleeding-events-in-electronic-health-record-notes-using-convolutional-neural-network-models-enhanced-with-r
MLA“Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/detection-of-bleeding-events-in-electronic-health-record-notes-using-convolutional-neural-network-models-enhanced-with-r.
BibTeX@misc{4ortxyz_detection-of-bleeding-events-in-electronic-health-record-notes-using-convolutional-neural-network-models-enhanced-with-r_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach}}, year = {2026}, url = {https://4ort.xyz/entity/detection-of-bleeding-events-in-electronic-health-record-notes-using-convolutional-neural-network-models-enhanced-with-r}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach — https://4ort.xyz/entity/detection-of-bleeding-events-in-electronic-health-record-notes-using-convolutional-neural-network-models-enhanced-with-r (retrieved 2026-05-24)