dc.contributorChatterjee Parag, Universidad de la República (Uruguay) Centro Universitario Litoral Norte
dc.contributorTesis Andreína, Universidad de la República (Uruguay) Centro Universitario Litoral Norte
dc.contributorCymberknop Leandro J., Universidad Tecnológica Nacional, Buenos Aires, Argentina
dc.contributorArmentano Ricardo L., Universidad Tecnológica Nacional, Buenos Aires, Argentina
dc.creatorChatterjee, Parag
dc.creatorTesis, Andreína
dc.creatorCymberknop, Leandro J.
dc.creatorArmentano, Ricardo L.
dc.date.accessioned2021-05-14T19:59:38Z
dc.date.accessioned2022-10-28T20:10:54Z
dc.date.available2021-05-14T19:59:38Z
dc.date.available2022-10-28T20:10:54Z
dc.date.created2021-05-14T19:59:38Z
dc.date.issued2020
dc.identifierChatterjee, P, Tesis, A, Cymberknop, L y Armentano, R. "Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective". Frontiers in Public Health [en línea] 2020, v. 8, nro. artículo 600213. Doi 10.3389/fpubh.2020.600213
dc.identifierhttps://hdl.handle.net/20.500.12008/27717
dc.identifier10.3389/fpubh.2020.600213
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/4981738
dc.description.abstractThe shudders of the COVID-19 pandemic have projected newer challenges in thehealthcare domain across the world. In South American scenario, severe issues anddifficulties have been noticed in areas like patient consultations, remote monitoring,medical resources, healthcare personnel etc. This work is aimed at providing a holisticview to the digital healthcare during the times of COVID-19 pandemic in South America.It includes different initiatives like mobile apps, web-platforms and intelligent analysestoward early detection and overall healthcare management.In addition to discussingbriefly the key issues toward extensive implementation of eHealth paradigms, this workalso sheds light on some key aspects of Artificial Intelligence and the Internet of Thingsalong their potential applications like clinical decisionsupport systems and predictive riskmodeling, especially in the direction of combating the emergent challenges due to theCOVID-19 pandemic.
dc.languageen
dc.relationFrontiers in Public Health, 2020, v8, nro. artículo 600213
dc.rightsLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)
dc.rightsLas obras depositadas en el Repositorio se rigen por la Ordenanza de los Derechos de la Propiedad Intelectual de la Universidad de la República.(Res. Nº 91 de C.D.C. de 8/III/1994 – D.O. 7/IV/1994) y por la Ordenanza del Repositorio Abierto de la Universidad de la República (Res. Nº 16 de C.D.C. de 07/10/2014)
dc.subjectInternet of things
dc.subjectArtificial intelligence
dc.subjectMachine learning
dc.subjectHealthcare
dc.subjectUbiquitous
dc.subjectVirtual healthcare
dc.subjectCOVID-19
dc.subjectPandemic
dc.titleInternet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective
dc.typeArtículo


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