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Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence
Currently, Medical errors are a serious problem when examining patients. Creating information systems that use the capabilities of evidence-based medicine and artificial intelligence methods will allow the doctor to make an informed and proven decision. In this article, the authors offer a descripti...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier B.V.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531984/ https://www.ncbi.nlm.nih.gov/pubmed/33042303 http://dx.doi.org/10.1016/j.procs.2020.09.195 |
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author | Lebedev, Georgy Fartushnyi, Eduard Fartushnyi, Igor Shaderkin, Igor Klimenko, Herman Kozhin, Pavel Koshechkin, Konstantin Ryabkov, Ilya Tarasov, Vadim Morozov, Evgeniy Fomina, Irina |
author_facet | Lebedev, Georgy Fartushnyi, Eduard Fartushnyi, Igor Shaderkin, Igor Klimenko, Herman Kozhin, Pavel Koshechkin, Konstantin Ryabkov, Ilya Tarasov, Vadim Morozov, Evgeniy Fomina, Irina |
author_sort | Lebedev, Georgy |
collection | PubMed |
description | Currently, Medical errors are a serious problem when examining patients. Creating information systems that use the capabilities of evidence-based medicine and artificial intelligence methods will allow the doctor to make an informed and proven decision. In this article, the authors offer a description of an information system that solves the problem of supporting medical decision making based on evidence-based medicine. This is achieved by using artificial intelligence methods. This work was supported by a grant from the Ministry of Education and Science of the Russian Federation, a unique project identifier RFMEFI60819X0278. |
format | Online Article Text |
id | pubmed-7531984 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | The Author(s). Published by Elsevier B.V. |
record_format | MEDLINE/PubMed |
spelling | pubmed-75319842020-10-05 Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence Lebedev, Georgy Fartushnyi, Eduard Fartushnyi, Igor Shaderkin, Igor Klimenko, Herman Kozhin, Pavel Koshechkin, Konstantin Ryabkov, Ilya Tarasov, Vadim Morozov, Evgeniy Fomina, Irina Procedia Comput Sci Article Currently, Medical errors are a serious problem when examining patients. Creating information systems that use the capabilities of evidence-based medicine and artificial intelligence methods will allow the doctor to make an informed and proven decision. In this article, the authors offer a description of an information system that solves the problem of supporting medical decision making based on evidence-based medicine. This is achieved by using artificial intelligence methods. This work was supported by a grant from the Ministry of Education and Science of the Russian Federation, a unique project identifier RFMEFI60819X0278. The Author(s). Published by Elsevier B.V. 2020 2020-10-02 /pmc/articles/PMC7531984/ /pubmed/33042303 http://dx.doi.org/10.1016/j.procs.2020.09.195 Text en © 2020 The Author(s). Published by Elsevier B.V. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Lebedev, Georgy Fartushnyi, Eduard Fartushnyi, Igor Shaderkin, Igor Klimenko, Herman Kozhin, Pavel Koshechkin, Konstantin Ryabkov, Ilya Tarasov, Vadim Morozov, Evgeniy Fomina, Irina Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence |
title | Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence |
title_full | Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence |
title_fullStr | Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence |
title_full_unstemmed | Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence |
title_short | Technology of Supporting Medical Decision-Making Using Evidence-Based Medicine and Artificial Intelligence |
title_sort | technology of supporting medical decision-making using evidence-based medicine and artificial intelligence |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7531984/ https://www.ncbi.nlm.nih.gov/pubmed/33042303 http://dx.doi.org/10.1016/j.procs.2020.09.195 |
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