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dc.creatorLouka A.M., Tsagkaris C., Christoforou P., Khan A., Alexiou F., Simou P., Haranas I., Gkigkitzis I., Georgios Z., Jha N.K., Uddin M.S., Shen B., Kamal M.A., Ashraf G.M., Alexiou A.en
dc.date.accessioned2023-01-31T08:55:26Z
dc.date.available2023-01-31T08:55:26Z
dc.date.issued2022
dc.identifier10.31083/j.fbl2708232
dc.identifier.issn27686701
dc.identifier.urihttp://hdl.handle.net/11615/76005
dc.description.abstractWhile frailty corresponds to a multisystem failure, geriatric assessment can recognize multiple pathophysiological lesions and age changes. Up to now, a few frailty indexes have been introduced, presenting definitions of psychological problems, dysregulations in nutritional intake, behavioral abnormalities, and daily functions, genetic, environmental, and cardiovascular comorbidities. The geriatric evaluation includes a vast range of health professionals; therefore, we describe a broad range of applications and frailty scales-biomarkers to investigate and formulate the relationship between frailty lesions, diagnosis, monitoring, and treatment. Additionally, artificial intelligence applications and computational tools are presented, targeting a more efficacy individualized geriatric management of healthy aging. © 2022 The Author(s).en
dc.language.isoenen
dc.sourceFrontiers in Bioscience - Landmarken
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85136990701&doi=10.31083%2fj.fbl2708232&partnerID=40&md5=bc38146f13aaf5fe8bb90eecdb4c5004
dc.subjectageden
dc.subjectartificial intelligenceen
dc.subjectfrail elderlyen
dc.subjectfrailtyen
dc.subjectgeriatric assessmenten
dc.subjectgeriatricsen
dc.subjecthumanen
dc.subjectAgeden
dc.subjectArtificial Intelligenceen
dc.subjectFrail Elderlyen
dc.subjectFrailtyen
dc.subjectGeriatric Assessmenten
dc.subjectGeriatricsen
dc.subjectHumansen
dc.subjectBioscience Research Instituteen
dc.titleCurrent Trends of Computational Tools in Geriatric Medicine and Frailty Managementen
dc.typeotheren


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