The year in cardiovascular medicine 2020: digital health and innovation

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Bibliographic Details
Main Authors: Ch. Antoniades, F. W. Asselbergs, P. Vardas
Format: Article
Language:Russian
Published: «FIRMA «SILICEA» LLC 2021-04-01
Series:Российский кардиологический журнал
Subjects:
Online Access:https://russjcardiol.elpub.ru/jour/article/view/4425
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author Ch. Antoniades
F. W. Asselbergs
P. Vardas
author_facet Ch. Antoniades
F. W. Asselbergs
P. Vardas
author_sort Ch. Antoniades
collection DOAJ
description .
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institution Directory Open Access Journal
issn 1560-4071
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language Russian
last_indexed 2024-04-09T20:44:33Z
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publisher «FIRMA «SILICEA» LLC
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spelling doaj.art-68f74543d79d4115ab226c6139b541112023-03-29T21:23:38Zrus«FIRMA «SILICEA» LLCРоссийский кардиологический журнал1560-40712618-76202021-04-0126310.15829/1560-4071-2021-44253212The year in cardiovascular medicine 2020: digital health and innovationCh. Antoniades0F. W. Asselbergs1P. Vardas2University of Oxford, John Radcliffe HospitalUtrecht University; University College LondonHygeia Hospitals Groups; University of Crete.https://russjcardiol.elpub.ru/jour/article/view/4425artificial intelligencedeep learningatherosclerosiscardiovascular diseasesmachine learningdigital healthbig data
spellingShingle Ch. Antoniades
F. W. Asselbergs
P. Vardas
The year in cardiovascular medicine 2020: digital health and innovation
Российский кардиологический журнал
artificial intelligence
deep learning
atherosclerosis
cardiovascular diseases
machine learning
digital health
big data
title The year in cardiovascular medicine 2020: digital health and innovation
title_full The year in cardiovascular medicine 2020: digital health and innovation
title_fullStr The year in cardiovascular medicine 2020: digital health and innovation
title_full_unstemmed The year in cardiovascular medicine 2020: digital health and innovation
title_short The year in cardiovascular medicine 2020: digital health and innovation
title_sort year in cardiovascular medicine 2020 digital health and innovation
topic artificial intelligence
deep learning
atherosclerosis
cardiovascular diseases
machine learning
digital health
big data
url https://russjcardiol.elpub.ru/jour/article/view/4425
work_keys_str_mv AT chantoniades theyearincardiovascularmedicine2020digitalhealthandinnovation
AT fwasselbergs theyearincardiovascularmedicine2020digitalhealthandinnovation
AT pvardas theyearincardiovascularmedicine2020digitalhealthandinnovation
AT chantoniades yearincardiovascularmedicine2020digitalhealthandinnovation
AT fwasselbergs yearincardiovascularmedicine2020digitalhealthandinnovation
AT pvardas yearincardiovascularmedicine2020digitalhealthandinnovation