- Home
- Publications
- Publication Search
- Publication Details
Title
BEHRT: Transformer for Electronic Health Records
Authors
Keywords
-
Journal
Scientific Reports
Volume 10, Issue 1, Pages -
Publisher
Island Press
Online
2020-04-28
DOI
10.1038/s41598-020-62922-y
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Deep learning for electronic health records: A comparative review of multiple deep neural architectures
- (2020) Jose Roberto Ayala Solares et al. JOURNAL OF BIOMEDICAL INFORMATICS
- End-to-end lung cancer screening with three-dimensional deep learning on low-dose chest computed tomography
- (2019) Diego Ardila et al. NATURE MEDICINE
- Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
- (2018) Ryan Poplin et al. Nature Biomedical Engineering
- Using clinical Natural Language Processing for health outcomes research: Overview and actionable suggestions for future advances
- (2018) Sumithra Velupillai et al. JOURNAL OF BIOMEDICAL INFORMATICS
- A guide to deep learning in healthcare
- (2018) Andre Esteva et al. NATURE MEDICINE
- High-performance medicine: the convergence of human and artificial intelligence
- (2018) Eric J. Topol NATURE MEDICINE
- Predicting the risk of emergency admission with machine learning: Development and validation using linked electronic health records
- (2018) Fatemeh Rahimian et al. PLOS MEDICINE
- Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
- (2017) Benjamin Shickel et al. IEEE Journal of Biomedical and Health Informatics
- $\mathtt {Deepr}$: A Convolutional Net for Medical Records
- (2017) Phuoc Nguyen et al. IEEE Journal of Biomedical and Health Informatics
- Deep Patient: An Unsupervised Representation to Predict the Future of Patients from the Electronic Health Records
- (2016) Riccardo Miotto et al. Scientific Reports
- Data Resource Profile: Clinical Practice Research Datalink (CPRD)
- (2015) Emily Herrett et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- Learning vector representation of medical objects via EMR-driven nonnegative restricted Boltzmann machines (eNRBM)
- (2015) Truyen Tran et al. JOURNAL OF BIOMEDICAL INFORMATICS
- Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults
- (2015) Connor A Emdin et al. BMJ-British Medical Journal
- Usual blood pressure, peripheral arterial disease, and vascular risk: cohort study of 4.2 million adults
- (2015) Connor A Emdin et al. BMJ-British Medical Journal
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started