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Kết quả 51 - 60 của 6.154  trong Tất cả tài nguyên

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51
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
Material Type:
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Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis

Journal of medical Internet research, 2021-05, Vol.23 (5), p.e26953-e26953 [Tạp chí có phản biện]

Stephen Wai Hang Kwok, Sai Kumar Vadde, Guanjin Wang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.05.2021. ;Stephen Wai Hang Kwok, Sai Kumar Vadde, Guanjin Wang. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 19.05.2021. 2021 ;ISSN: 1438-8871 ;ISSN: 1439-4456 ;EISSN: 1438-8871 ;DOI: 10.2196/26953 ;PMID: 33886492

Tài liệu số/Tài liệu điện tử

Trích dẫn Trích dẫn bởi
52
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning
NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning
Material Type:
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NetSurfP-3.0: accurate and fast prediction of protein structural features by protein language models and deep learning

Nucleic acids research, 2022-07, Vol.50 (W1), p.W510-W515 [Tạp chí có phản biện]

The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. 2022 ;The Author(s) 2022. Published by Oxford University Press on behalf of Nucleic Acids Research. ;ISSN: 0305-1048 ;EISSN: 1362-4962 ;DOI: 10.1093/nar/gkac439 ;PMID: 35648435

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53
Ensemble method–based extraction of medication and related information from clinical texts
Ensemble method–based extraction of medication and related information from clinical texts
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Ensemble method–based extraction of medication and related information from clinical texts

Journal of the American Medical Informatics Association : JAMIA, 2020-01, Vol.27 (1), p.31-38 [Tạp chí có phản biện]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;ISSN: 1527-974X ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz100 ;PMID: 31282932

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54
Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers
Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers

ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-022-12926-2

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55
Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers
Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Detecting changes in help seeker conversations on a suicide prevention helpline during the COVID− 19 pandemic: in-depth analysis using encoder representations from transformers

ISSN: 1471-2458 ;EISSN: 1471-2458 ;DOI: 10.1186/s12889-022-12926-2

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56
Protein design and variant prediction using autoregressive generative models
Protein design and variant prediction using autoregressive generative models
Material Type:
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Protein design and variant prediction using autoregressive generative models

Nature communications, 2021-04, Vol.12 (1), p.2403-2403, Article 2403 [Tạp chí có phản biện]

The Author(s) 2021. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 2041-1723 ;EISSN: 2041-1723 ;DOI: 10.1038/s41467-021-22732-w ;PMID: 33893299

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57
Natural Language Processing: from Bedside to Everywhere
Natural Language Processing: from Bedside to Everywhere
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Natural Language Processing: from Bedside to Everywhere

Yearbook of medical informatics, 2022-06, Vol.31 (1), p.243-253

IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ;IMIA and Thieme. This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. ( ) 2022 IMIA and Thieme. ;ISSN: 0943-4747 ;EISSN: 2364-0502 ;DOI: 10.1055/s-0042-1742510 ;PMID: 35654422

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58
Enhancing clinical concept extraction with contextual embeddings
Enhancing clinical concept extraction with contextual embeddings
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Enhancing clinical concept extraction with contextual embeddings

Journal of the American Medical Informatics Association : JAMIA, 2019-11, Vol.26 (11), p.1297-1304 [Tạp chí có phản biện]

The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com 2019 ;The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com. ;ISSN: 1067-5027 ;EISSN: 1527-974X ;DOI: 10.1093/jamia/ocz096 ;PMID: 31265066

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59
Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing:a proof- of- concept
Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing:a proof- of- concept
Material Type:
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Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing:a proof- of- concept

ISSN: 0785-3890 ;EISSN: 1365-2060 ;DOI: 10.1080/07853890.2021.2025418

Tài liệu số/Tài liệu điện tử

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60
Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing:a proof- of- concept
Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing:a proof- of- concept
Material Type:
Bài báo 		Thêm vào Góc nghiên cứu

Automated recognition of functioning, activity and participation in COVID-19 from electronic patient records by natural language processing:a proof- of- concept

ISSN: 0785-3890 ;EISSN: 1365-2060 ;DOI: 10.1080/07853890.2021.2025418

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Kết quả 51 - 60 của 6.154  trong Tất cả tài nguyên

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