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Software for Medical Decision Support in the Prevention of Cardiovascular Mortality
The stages in the development of a computer program supporting medical decision-making for assessment of the risk of hospital mortality from cardiovascular diseases are presented. The software is intended for use in penitentiary healthcare. Its development included identification of risk factors for...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926451/ https://www.ncbi.nlm.nih.gov/pubmed/35313714 http://dx.doi.org/10.1007/s10527-022-10152-z |
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author | Dyuzheva, E. V. |
author_facet | Dyuzheva, E. V. |
author_sort | Dyuzheva, E. V. |
collection | PubMed |
description | The stages in the development of a computer program supporting medical decision-making for assessment of the risk of hospital mortality from cardiovascular diseases are presented. The software is intended for use in penitentiary healthcare. Its development included identification of risk factors for hospital mortality using data mining and formation of a software algorithm. The automated prognosis provides a solution to the task of optimizing patient routing and selecting therapeutic tactics, contributing thereby to the prevention of hospital mortality. |
format | Online Article Text |
id | pubmed-8926451 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-89264512022-03-17 Software for Medical Decision Support in the Prevention of Cardiovascular Mortality Dyuzheva, E. V. Biomed Eng (NY) Article The stages in the development of a computer program supporting medical decision-making for assessment of the risk of hospital mortality from cardiovascular diseases are presented. The software is intended for use in penitentiary healthcare. Its development included identification of risk factors for hospital mortality using data mining and formation of a software algorithm. The automated prognosis provides a solution to the task of optimizing patient routing and selecting therapeutic tactics, contributing thereby to the prevention of hospital mortality. Springer US 2022-03-07 2022 /pmc/articles/PMC8926451/ /pubmed/35313714 http://dx.doi.org/10.1007/s10527-022-10152-z Text en © Springer Science+Business Media, LLC, part of Springer Nature 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Article Dyuzheva, E. V. Software for Medical Decision Support in the Prevention of Cardiovascular Mortality |
title | Software for Medical Decision Support in the Prevention of Cardiovascular Mortality |
title_full | Software for Medical Decision Support in the Prevention of Cardiovascular Mortality |
title_fullStr | Software for Medical Decision Support in the Prevention of Cardiovascular Mortality |
title_full_unstemmed | Software for Medical Decision Support in the Prevention of Cardiovascular Mortality |
title_short | Software for Medical Decision Support in the Prevention of Cardiovascular Mortality |
title_sort | software for medical decision support in the prevention of cardiovascular mortality |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8926451/ https://www.ncbi.nlm.nih.gov/pubmed/35313714 http://dx.doi.org/10.1007/s10527-022-10152-z |
work_keys_str_mv | AT dyuzhevaev softwareformedicaldecisionsupportinthepreventionofcardiovascularmortality |