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Current Trends of Computational Tools in Geriatric Medicine and Frailty Management

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dc.contributor.author Louka, Anna Maria
dc.contributor.author Tsagkaris, Christos
dc.contributor.author Christoforou, Panagiotis
dc.contributor.author Khan, Andleeb
dc.contributor.author Alexiou, Filia
dc.contributor.author Simou, Panagiota
dc.contributor.author Haranas, Loannis
dc.contributor.author Gkigkitzis, Loannis
dc.contributor.author Zouganelis, Georgios
dc.contributor.author Jha, Niraj Kumar
dc.contributor.author Uddin, Md Sahab
dc.contributor.author Shen, Bairong
dc.contributor.author Kamal, Mohammad A.
dc.contributor.author Ashraf, Ghulam Md
dc.contributor.author Alexiou, Athanasios
dc.date.accessioned 2023-12-10T05:11:19Z
dc.date.available 2023-12-10T05:11:19Z
dc.date.issued 2022-07-19
dc.identifier.issn 2768-6698
dc.identifier.uri http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/11287
dc.description.abstract While 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. en_US
dc.language.iso en_US en_US
dc.publisher Daffodil International University en_US
dc.subject Aging Management en_US
dc.subject Stress management en_US
dc.title Current Trends of Computational Tools in Geriatric Medicine and Frailty Management en_US
dc.type Article en_US


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