Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms

[No abstract available]

Bibliographic Details
Published in:The Lancet Digital Health
Main Author: Malek S.; Kasim S.
Format: Note
Language:English
Published: Elsevier Ltd 2024
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196265836&doi=10.1016%2fS2589-7500%2824%2900117-1&partnerID=40&md5=e77b7056fd5d7f42eaad735eafdd8822
id 2-s2.0-85196265836
spelling 2-s2.0-85196265836
Malek S.; Kasim S.
Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
2024
The Lancet Digital Health
6
7
10.1016/S2589-7500(24)00117-1
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196265836&doi=10.1016%2fS2589-7500%2824%2900117-1&partnerID=40&md5=e77b7056fd5d7f42eaad735eafdd8822
[No abstract available]
Elsevier Ltd
25897500
English
Note
All Open Access; Gold Open Access
author Malek S.; Kasim S.
spellingShingle Malek S.; Kasim S.
Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
author_facet Malek S.; Kasim S.
author_sort Malek S.; Kasim S.
title Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
title_short Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
title_full Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
title_fullStr Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
title_full_unstemmed Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
title_sort Advancing non-ST-elevation myocardial infarction risk assessment with artificial intelligence-based algorithms
publishDate 2024
container_title The Lancet Digital Health
container_volume 6
container_issue 7
doi_str_mv 10.1016/S2589-7500(24)00117-1
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85196265836&doi=10.1016%2fS2589-7500%2824%2900117-1&partnerID=40&md5=e77b7056fd5d7f42eaad735eafdd8822
description [No abstract available]
publisher Elsevier Ltd
issn 25897500
language English
format Note
accesstype All Open Access; Gold Open Access
record_format scopus
collection Scopus
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