Published on in Vol 7, No 1 (2019): Jan-Mar
![Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach Detection of Bleeding Events in Electronic Health Record Notes Using Convolutional Neural Network Models Enhanced With Recurrent Neural Network Autoencoders: Deep Learning Approach](https://asset.jmir.pub/assets/3adcbc5fdcb19e329ae2ab934d2bdddc.png 480w,https://asset.jmir.pub/assets/3adcbc5fdcb19e329ae2ab934d2bdddc.png 960w,https://asset.jmir.pub/assets/3adcbc5fdcb19e329ae2ab934d2bdddc.png 1920w,https://asset.jmir.pub/assets/3adcbc5fdcb19e329ae2ab934d2bdddc.png 2500w)
1 College of Information and Computer Science, University of Massachusetts Amherst, Amherst, MA, United States
2 Department of Computer Science, University of Massachusetts Lowell, Lowell, MA, United States
3 Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, United States
4 Department of Veterans Affairs, Center for Medication Safety, Hines, IL, United States
5 Cardiology Division, Department of Medicine, University of Massachusetts Medical School, Worcester, MA, United States
6 Center for Healthcare Organization and Implementation Research, Bedford Veterans Affairs Medical Center, Bedford, MA, United States