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dc.contributor.authorSaldaña Barrios, Juan José
dc.contributor.authorMendoza, Luis
dc.contributor.authorPitti, Edgardo
dc.contributor.authorVargas Lombardo, Miguel
dc.date.accessioned2023-02-06T15:57:35Z
dc.date.available2023-02-06T15:57:35Z
dc.date.issued2018-12
dc.identifier.urihttps://ridda2.utp.ac.pa/handle/123456789/17363
dc.descriptionIn this work, the authors present two eHealth platforms that are examples of how health systems are migrating from client-server architecture to the web-based and ubiquitous paradigm. These two platforms were modeled, designed, developed and implemented with positive results. First, using ambient-assisted living and ubiquitous computing, the authors enhance how palliative care is being provided to the elderly patients and patients with terminal illness, making the work of doctors, nurses and other health actors easier. Second, applying machine learning methods and a data-centered, ubiquitous, patient’s results’ repository, the authors intent to improve the Down’s syndrome risk estimation process with more accurate predictions based on local woman patients’ parameters. These two eHealth platforms can improve the quality of life, not only physically but also psychologically, of the patients and their families in the country of Panama.en_US
dc.description.abstractIn this work, the authors present two eHealth platforms that are examples of how health systems are migrating from client-server architecture to the web-based and ubiquitous paradigm. These two platforms were modeled, designed, developed and implemented with positive results. First, using ambient-assisted living and ubiquitous computing, the authors enhance how palliative care is being provided to the elderly patients and patients with terminal illness, making the work of doctors, nurses and other health actors easier. Second, applying machine learning methods and a data-centered, ubiquitous, patient’s results’ repository, the authors intent to improve the Down’s syndrome risk estimation process with more accurate predictions based on local woman patients’ parameters. These two eHealth platforms can improve the quality of life, not only physically but also psychologically, of the patients and their families in the country of Panama.en_US
dc.formatapplication/pdfen_US
dc.language.isoen_USen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.rightshttps://creativecommons.org/licenses/by-nc-sa/4.0en_US
dc.subjectambient-assisted livingen_US
dc.subjectDown’s syndromeen_US
dc.subjecteHealthen_US
dc.subjectpalliative careen_US
dc.subjectubiquitous computingen_US
dc.titleUbiquitous and ambient-assisted living eHealth platforms for Down’s syndrome and palliative care in the Republic of Panama: A systematic reviewen_US
dc.typeinfo:eu-repo/semantics/articleen_US
dc.typeinfo:eu-repo/semantics/publishedVersionen_US


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