Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics-Reference-Cited by-同舟云学术

Proposing Causal Sequence of Death by Neural Machine Translation in Public Health Informatics

Published:2022-04 Issue:4 Volume:26 Page:1422-1431
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhu Yuanda¹^ORCID,Sha Ying²^ORCID,Wu Hang³,Li Mai⁴,Hoffman Ryan A.³^ORCID,Wang May D.⁵^ORCID

Affiliation:

1. School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA

2. School of Biology, Georgia Institute of Technology, Atlanta, GA, USA

3. Department of Biomedical Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA

4. Department of Electronic Science and Technology, University of Science and Technology of China, Hefei, China

5. Department of Biomedical Engineering and School of Electrical and Computer Engineering, Georgia Institute of Technology and Emory University, Atlanta, GA, USA

Funder

U.S. Department of Health and Human Services Centers for Disease Control and Prevention

National Center for Advancing Translational Sciences

National Science Foundation

Carol Ann and David D Flanagan Distinguished Faculty Fellow

Wallace H Coulter Distinguished Faculty Fellow Award

Amazon Faculty Research Award

Microsoft Azure Cloud Computing Award

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Biotechnology

Link

https://ieeexplore.ieee.org/ielam/6221020/9757026/9744474-aam.pdf

Reference36 articles.

1. Neural Machine Translation of Rare Words with Subword Units

2. OpenNMT: Open-Source Toolkit for Neural Machine Translation

3. BLEU

4. Pharaoh: A Beam Search Decoder for Phrase-Based Statistical Machine Translation Models

5. Med-BERT: pretrained contextualized embeddings on large-scale structured electronic health records for disease prediction

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