Artificial Intelligence and Deep Learning for Rheumatologists-Reference-Cited by-同舟云学术

Artificial Intelligence and Deep Learning for Rheumatologists

Published:2022-10-26 Issue:12 Volume:74 Page:1893-1905
ISSN:2326-5191
Container-title:Arthritis & Rheumatology
language:en
Short-container-title:Arthritis & Rheumatology

Author:

McMaster Christopher¹^ORCID,Bird Alix²^ORCID,Liew David F. L.³^ORCID,Buchanan Russell R.⁴,Owen Claire E.⁴^ORCID,Chapman Wendy W.⁵^ORCID,Pires Douglas E. V.⁶^ORCID

Affiliation:

1. Department of Rheumatology and Department of Clinical Pharmacology and Therapeutics, Austin Health, Victoria, Melbourne, Australia, and Centre for Digital Transformation of Health and School of Computing and Information Systems, University of Melbourne Victoria Melbourne Australia

2. Australian Institute for Machine Learning, University of Adelaide Adelaide South Australia Australia

3. Department of Rheumatology and Department of Clinical Pharmacology and Therapeutics, Austin Health, Department of Clinical Pharmacology and Therapeutics, Austin Health, and Department of Medicine, University of Melbourne Victoria Melbourne Australia

4. Department of Rheumatology, Austin Health, and Department of Medicine, University of Melbourne Victoria Melbourne Australia

5. Centre for Digital Transformation of Health, University of Melbourne Victoria Melbourne Australia

6. Centre for Digital Transformation of Health and School of Computing and Information Systems, University of Melbourne Victoria Melbourne Australia

Publisher

Wiley

Subject

Immunology,Rheumatology,Immunology and Allergy

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/art.42296

Reference95 articles.

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4. ZhangJ ZhaoY SalehM et al.PEGASUS: Pre‐training with Extracted Gap‐sentences for Abstractive Summarization. arXiv [cs.CL]2019. URL:http://arxiv.org/abs/1912.08777.

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