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Conference Paper/Proceeding/Abstract 609 views 267 downloads

Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset

Gavin Tsang, Xianghua Xie Orcid Logo

2020 25th International Conference on Pattern Recognition (ICPR)

Swansea University Author: Xianghua Xie Orcid Logo

DOI (Published version): 10.1109/icpr48806.2021.9412058

Published in: 2020 25th International Conference on Pattern Recognition (ICPR)
Published: IEEE 2021
URI: https://cronfa.swan.ac.uk/Record/cronfa55573
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first_indexed 2021-07-20T14:02:33Z
last_indexed 2021-11-11T04:20:57Z
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spelling 2021-11-10T09:37:48.9114867 v2 55573 2020-11-02 Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset b334d40963c7a2f435f06d2c26c74e11 0000-0002-2701-8660 Xianghua Xie Xianghua Xie true false 2020-11-02 SCS Conference Paper/Proceeding/Abstract 2020 25th International Conference on Pattern Recognition (ICPR) IEEE 5 5 2021 2021-05-05 10.1109/icpr48806.2021.9412058 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2021-11-10T09:37:48.9114867 2020-11-02T09:35:30.1702716 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Gavin Tsang 1 Xianghua Xie 0000-0002-2701-8660 2 55573__18557__391fa427f4cb468c878391b43cb1d033.pdf ICPR20_paper.pdf 2020-11-02T09:36:26.2414107 Output 290016 application/pdf Accepted Manuscript true true eng
title Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
spellingShingle Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
Xianghua Xie
title_short Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
title_full Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
title_fullStr Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
title_full_unstemmed Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
title_sort Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset
author_id_str_mv b334d40963c7a2f435f06d2c26c74e11
author_id_fullname_str_mv b334d40963c7a2f435f06d2c26c74e11_***_Xianghua Xie
author Xianghua Xie
author2 Gavin Tsang
Xianghua Xie
format Conference Paper/Proceeding/Abstract
container_title 2020 25th International Conference on Pattern Recognition (ICPR)
publishDate 2021
institution Swansea University
doi_str_mv 10.1109/icpr48806.2021.9412058
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 1
active_str 0
published_date 2021-05-05T04:09:53Z
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score 11.03034

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