Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective
Resumen:
The 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.
| 2020 | |
|
Internet of things Artificial intelligence Machine learning Healthcare Ubiquitous Virtual healthcare COVID-19 Pandemic |
|
| Inglés | |
| Universidad de la República | |
| COLIBRI | |
| https://hdl.handle.net/20.500.12008/27717 | |
| Acceso abierto | |
| Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| _version_ | 1875693222701826048 |
|---|---|
| author | Chatterjee, Parag |
| author2 | Tesis, Andreína Cymberknop, Leandro J. Armentano, Ricardo L. |
| author2_role | author author author |
| author_facet | Chatterjee, Parag Tesis, Andreína Cymberknop, Leandro J. Armentano, Ricardo L. |
| author_role | author |
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| collection | COLIBRI |
| dc.contributor.filiacion.none.fl_str_mv | Chatterjee Parag, Universidad de la República (Uruguay) Centro Universitario Litoral Norte Tesis Andreína, Universidad de la República (Uruguay) Centro Universitario Litoral Norte Cymberknop Leandro J., Universidad Tecnológica Nacional, Buenos Aires, Argentina Armentano Ricardo L., Universidad Tecnológica Nacional, Buenos Aires, Argentina |
| dc.creator.none.fl_str_mv | Chatterjee, Parag Tesis, Andreína Cymberknop, Leandro J. Armentano, Ricardo L. |
| dc.date.accessioned.none.fl_str_mv | 2021-05-14T19:59:38Z |
| dc.date.available.none.fl_str_mv | 2021-05-14T19:59:38Z |
| dc.date.issued.none.fl_str_mv | 2020 |
| dc.description.abstract.none.fl_txt_mv | The 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.format.extent.es.fl_str_mv | 7 h. |
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| dc.identifier.citation.es.fl_str_mv | Chatterjee, 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.identifier.doi.none.fl_str_mv | 10.3389/fpubh.2020.600213 |
| dc.identifier.uri.none.fl_str_mv | https://hdl.handle.net/20.500.12008/27717 |
| dc.language.iso.none.fl_str_mv | en eng |
| dc.relation.none.fl_str_mv | Frontiers in Public Health, 2020, v8, nro. artículo 600213 |
| dc.rights.license.none.fl_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| dc.rights.none.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.source.none.fl_str_mv | reponame:COLIBRI instname:Universidad de la República instacron:Universidad de la República |
| dc.subject.es.fl_str_mv | Internet of things Artificial intelligence Machine learning Healthcare Ubiquitous Virtual healthcare COVID-19 Pandemic |
| dc.title.none.fl_str_mv | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| dc.type.es.fl_str_mv | Artículo |
| dc.type.none.fl_str_mv | info:eu-repo/semantics/article |
| dc.type.version.none.fl_str_mv | info:eu-repo/semantics/publishedVersion |
| description | The 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | COLIBRI_7a5b8b9013e5e69a76ec9bb2f1c7cb07 |
| identifier_str_mv | Chatterjee, 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 10.3389/fpubh.2020.600213 |
| instacron_str | Universidad de la República |
| institution | Universidad de la República |
| instname_str | Universidad de la República |
| language | eng |
| language_invalid_str_mv | en |
| network_acronym_str | COLIBRI |
| network_name_str | COLIBRI |
| oai_identifier_str | oai:colibri.udelar.edu.uy:20.500.12008/27717 |
| publishDate | 2020 |
| reponame_str | COLIBRI |
| repository.mail.fl_str_mv | karina.camps@seciu.edu.uy |
| repository.name.fl_str_mv | COLIBRI - Universidad de la República |
| repository_id_str | 4771 |
| rights_invalid_str_mv | Licencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0) |
| spelling | Chatterjee Parag, Universidad de la República (Uruguay) Centro Universitario Litoral NorteTesis Andreína, Universidad de la República (Uruguay) Centro Universitario Litoral NorteCymberknop Leandro J., Universidad Tecnológica Nacional, Buenos Aires, ArgentinaArmentano Ricardo L., Universidad Tecnológica Nacional, Buenos Aires, Argentina2021-05-14T19:59:38Z2021-05-14T19:59:38Z2020Chatterjee, 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.2020.600213https://hdl.handle.net/20.500.12008/2771710.3389/fpubh.2020.600213The 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.Submitted by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2021-05-14T19:59:38Z No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) fpubh-08-600213.pdf: 421744 bytes, checksum: da8a0e57081a597bdb2773d7c5135581 (MD5)Made available in DSpace by Seroubian Mabel (mabel.seroubian@seciu.edu.uy) on 2021-05-14T19:59:38Z (GMT). No. of bitstreams: 2 license_rdf: 23149 bytes, checksum: 1996b8461bc290aef6a27d78c67b6b52 (MD5) fpubh-08-600213.pdf: 421744 bytes, checksum: da8a0e57081a597bdb2773d7c5135581 (MD5) Previous issue date: 20207 h.application/pdfenengFrontiers in Public Health, 2020, v8, nro. artículo 600213Las 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)info:eu-repo/semantics/openAccessLicencia Creative Commons Atribución - No Comercial - Sin Derivadas (CC - By-NC-ND 4.0)Internet of thingsArtificial intelligenceMachine learningHealthcareUbiquitousVirtual healthcareCOVID-19PandemicInternet of things and artificial intelligence in healthcare during COVID-19 pandemic. 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- Universidad de la Repúblicafalse |
| spellingShingle | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective Chatterjee, Parag Internet of things Artificial intelligence Machine learning Healthcare Ubiquitous Virtual healthcare COVID-19 Pandemic |
| status_str | publishedVersion |
| title | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| title_full | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| title_fullStr | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| title_full_unstemmed | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| title_short | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| title_sort | Internet of things and artificial intelligence in healthcare during COVID-19 pandemic. A South American perspective |
| topic | Internet of things Artificial intelligence Machine learning Healthcare Ubiquitous Virtual healthcare COVID-19 Pandemic |
| url | https://hdl.handle.net/20.500.12008/27717 |
