Architecture and organization of a platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring

2021
journal article
article
4
dc.abstract.enInfectious diseases accompanied mankind throughout its existence. However, in the 20th century, with the implementation od mass vaccination, this problem was partially forgotten. It reappeared at the end of the 2019 with the COVID-19 pandemic. The diseases are associated with high mortality, the main causes of which are: respiratory failure, acute respiratory distress syndrome, thrombotic complications, etc. As many centuries ago, the key to fighting a pandemic is to diagnose patients with infections as quickly as possible, isolate them, and implement treatment procedures. In this paper we propose a Platform supporting medics in the fight against epidemic. Unlike alternative systems, the proposed IT Platform will ultimately cover all areas of fighting against COVID-19, from the diagnosis of infection, through treatment, to rehabilitation of post-disease complications. Like most clinical information systems, the Platform is based on Artificial Intelligence, in particular Federated Learning. Also, unlike known solutions, it uses all available historical data of the patient’s health and information from real-time mobile diagnostics, using cellular communication and Internet of Things solutions. Such solutions could be helpful in fighting against any future mass infections.
dc.affiliationWydział Nauk o Zdrowiu : Instytut Fizjoterapiipl
dc.cm.date2021-11-29
dc.cm.id106492
dc.cm.idOmegaUJCM0744f01e5a694c1a9d487b551357a0dbpl
dc.contributor.authorHajder, Miroslawpl
dc.contributor.authorHajder, Piotrpl
dc.contributor.authorGil, Tomasz - 200745 pl
dc.contributor.authorKrzywda, Maciejpl
dc.contributor.authorKolbusz, Januszpl
dc.contributor.authorLiput, Mateuszpl
dc.date.accession2021-11-29pl
dc.date.accessioned2021-11-29T16:11:38Z
dc.date.available2021-11-29T16:11:38Z
dc.date.issued2021pl
dc.date.openaccess0
dc.description.accesstimew momencie opublikowania
dc.description.physical3711-3721pl
dc.description.points5
dc.description.versionostateczna wersja wydawcy
dc.description.volume192pl
dc.identifier.doi10.1016/j.procs.2021.09.145pl
dc.identifier.eissn1877-0509pl
dc.identifier.issn1877-0509pl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/284473
dc.identifier.weblinkhttps://www.sciencedirect.com/science/article/pii/S1877050921018846?via%3Dihub
dc.languageengpl
dc.language.containerengpl
dc.pbn.affiliationDziedzina nauk medycznych i nauk o zdrowiu : nauki o zdrowiu
dc.relation.uri*
dc.rightsUdzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licenceCC-BY-NC-ND
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.typeinne
dc.subject.enCOVID-19
dc.subject.enAI-based decision making
dc.subject.enMedical Platform System
dc.subject.enFederated Learning
dc.subtypeArticlepl
dc.titleArchitecture and organization of a platform for diagnostics, therapy and post-covid complications using AI and mobile monitoringpl
dc.title.journalProcedia Computer Sciencepl
dc.typeJournalArticlepl
dspace.entity.typePublication
dc.abstract.en
Infectious diseases accompanied mankind throughout its existence. However, in the 20th century, with the implementation od mass vaccination, this problem was partially forgotten. It reappeared at the end of the 2019 with the COVID-19 pandemic. The diseases are associated with high mortality, the main causes of which are: respiratory failure, acute respiratory distress syndrome, thrombotic complications, etc. As many centuries ago, the key to fighting a pandemic is to diagnose patients with infections as quickly as possible, isolate them, and implement treatment procedures. In this paper we propose a Platform supporting medics in the fight against epidemic. Unlike alternative systems, the proposed IT Platform will ultimately cover all areas of fighting against COVID-19, from the diagnosis of infection, through treatment, to rehabilitation of post-disease complications. Like most clinical information systems, the Platform is based on Artificial Intelligence, in particular Federated Learning. Also, unlike known solutions, it uses all available historical data of the patient’s health and information from real-time mobile diagnostics, using cellular communication and Internet of Things solutions. Such solutions could be helpful in fighting against any future mass infections.
dc.affiliationpl
Wydział Nauk o Zdrowiu : Instytut Fizjoterapii
dc.cm.date
2021-11-29
dc.cm.id
106492
dc.cm.idOmegapl
UJCM0744f01e5a694c1a9d487b551357a0db
dc.contributor.authorpl
Hajder, Miroslaw
dc.contributor.authorpl
Hajder, Piotr
dc.contributor.authorpl
Gil, Tomasz - 200745
dc.contributor.authorpl
Krzywda, Maciej
dc.contributor.authorpl
Kolbusz, Janusz
dc.contributor.authorpl
Liput, Mateusz
dc.date.accessionpl
2021-11-29
dc.date.accessioned
2021-11-29T16:11:38Z
dc.date.available
2021-11-29T16:11:38Z
dc.date.issuedpl
2021
dc.date.openaccess
0
dc.description.accesstime
w momencie opublikowania
dc.description.physicalpl
3711-3721
dc.description.points
5
dc.description.version
ostateczna wersja wydawcy
dc.description.volumepl
192
dc.identifier.doipl
10.1016/j.procs.2021.09.145
dc.identifier.eissnpl
1877-0509
dc.identifier.issnpl
1877-0509
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/284473
dc.identifier.weblink
https://www.sciencedirect.com/science/article/pii/S1877050921018846?via%3Dihub
dc.languagepl
eng
dc.language.containerpl
eng
dc.pbn.affiliation
Dziedzina nauk medycznych i nauk o zdrowiu : nauki o zdrowiu
dc.relation.uri*
dc.rights
Udzielam licencji. Uznanie autorstwa - Użycie niekomercyjne - Bez utworów zależnych 4.0 Międzynarodowa
dc.rights.licence
CC-BY-NC-ND
dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode.pl
dc.share.type
inne
dc.subject.en
COVID-19
dc.subject.en
AI-based decision making
dc.subject.en
Medical Platform System
dc.subject.en
Federated Learning
dc.subtypepl
Article
dc.titlepl
Architecture and organization of a platform for diagnostics, therapy and post-covid complications using AI and mobile monitoring
dc.title.journalpl
Procedia Computer Science
dc.typepl
JournalArticle
dspace.entity.type
Publication
Affiliations

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