Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
出版年份 2021 全文链接
标题
Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction
作者
关键词
-
出版物
npj Digital Medicine
Volume 4, Issue 1, Pages -
出版商
Springer Science and Business Media LLC
发表日期
2021-05-20
DOI
10.1038/s41746-021-00455-y
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Re-epithelialization and immune cell behaviour in an ex vivo human skin model
- (2020) Ana Rakita et al. Scientific Reports
- Asthma Exacerbation Prediction and Risk Factor Analysis Based on a Time-Sensitive, Attentive Neural Network: Retrospective Cohort Study
- (2020) Yang Xiang et al. JOURNAL OF MEDICAL INTERNET RESEARCH
- Time-sensitive clinical concept embeddings learned from large electronic health records
- (2019) Yang Xiang et al. BMC Medical Informatics and Decision Making
- Automated detection and classification of the proximal humerus fracture by using deep learning algorithm
- (2018) Seok Won Chung et al. Acta Orthopaedica
- Machine Health Monitoring Using Local Feature-Based Gated Recurrent Unit Networks
- (2018) Rui Zhao et al. IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
- Predicting Hospital Readmission via Cost-sensitive Deep Learning
- (2018) Haishuai Wang et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- 2017 Cardiovascular and Stroke Endpoint Definitions for Clinical Trials
- (2018) Karen A. Hicks et al. JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY
- Readmission prediction via deep contextual embedding of clinical concepts
- (2018) Cao Xiao et al. PLoS One
- Prediction of cardiovascular risk factors from retinal fundus photographs via deep learning
- (2018) Ryan Poplin et al. Nature Biomedical Engineering
- Classification and mutation prediction from non–small cell lung cancer histopathology images using deep learning
- (2018) Nicolas Coudray et al. NATURE MEDICINE
- Artificial intelligence in healthcare
- (2018) Kun-Hsing Yu et al. Nature Biomedical Engineering
- Dermatologist-level classification of skin cancer with deep neural networks
- (2017) Andre Esteva et al. NATURE
- Disease Prediction by Machine Learning Over Big Data From Healthcare Communities
- (2017) Min Chen et al. IEEE Access
- Artificial intelligence in healthcare: past, present and future
- (2017) Fei Jiang et al. JOURNAL OF INVESTIGATIVE MEDICINE
- MIMIC-III, a freely accessible critical care database
- (2016) Alistair E.W. Johnson et al. Scientific Data
- Data Resource Profile: Clinical Practice Research Datalink (CPRD)
- (2015) Emily Herrett et al. INTERNATIONAL JOURNAL OF EPIDEMIOLOGY
- The “Meaningful Use” Regulation for Electronic Health Records
- (2010) David Blumenthal et al. NEW ENGLAND JOURNAL OF MEDICINE
- A Survey on Transfer Learning
- (2009) Sinno Jialin Pan et al. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
- Use of Electronic Health Records in U.S. Hospitals
- (2009) Ashish K. Jha et al. NEW ENGLAND JOURNAL OF MEDICINE
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